Video Tutorials Collection

**Ajkula** · 09-14-2023, 08:55 PM

Performance Testing Using Loadrunner 12.50
Last updated 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 17.75 GB | Duration: 37h 0m

(30 Day Money Back Guarantee) - Extensive, Hands-on Training with Real Time Project, Material and Query Support.

What you'll learn
Students reported that they were able to troubleshoot the issues faced in the real projects after taking this class
Even if you are using any other performance testing tool, this course will provide you core guidelines for utilizing it for maximum benefits in less time.
By end of the course you will learn to develop a workable strategy for load testing of an enterprise system and be ready to handle any performance testing project using LoadRunner tool

Requirements
Basic Computer knowledge
Any Basic scripting language knowledge

Description
Welcome to "Isha Training Solutions"**************UPDATED THE COURSE ON 2nd Sept 2018**************Modified the installation files <Both 12.53 and 12.50> and provided more clarity on the mode of installation************************************** *****************************************UPDATED THE COURSE ON 26 JULY 2018****************ADDED FOLLOWINGQuiz for each sectionAdded a new section called "Miscellaneous section" and added a video demonstrating a script to "Merge 2 arrays" ************************************************** ***************I am able to Record, Replay back, Add transactions & Add Check Points, then why should I take this course?This course is much deeper than just record and playback. Students reported that they were able to troubleshoot the issues by themselves after attending the course. Also, reported that the course helped them to break the interviews confidently. Lots of C functions, LR functions, conversions etc...will be discussed. If you are lead, you will understand which NFR's to collect from client and exact process to follow during project implementation. (PTLC).******************************************* **********************Here is our all new and improved Performance testing with LoadRunner training course of 33+ hours conducted by the LoadRunner expert having 14+
years of practical industry experience!Learn all the basic and advanced performance testing concepts with hands-on practical examples. The course syllabus is designed by considering the current job market trends and industry requirements.Performance Tester is in high Demand!!!! At the end of the course be ready to handle any performance testing project using LoadRunner tool. Even if you are using any other performance testing tool, this course will provide you core guidelines for utilizing it for maximum benefits in less time.********************************************* *******************************************My other courses on UdemyApache Jmeter - Basics to Intermediate levelAdvance LoadRunner Scripting for HTTP/HTML ProtocolWebServices Performance Testing Using Loadrunner(SOAP &REST)Loadrunner 12.50 SAPGUI Protocol scripting***************************************** ***********************************************Pls email me on kgupta.tes[Only registered and activated users can see links. ]
Overview

Section 1: Introduction to Performance Testing

Lecture 1 Hand out / Course Material for the Course

Lecture 2 Access to Instructor - Kumar Gupta

Lecture 3 Software Testing

Lecture 4 Why Performance Testing

Lecture 5 Why Applications Become Slow

Lecture 6 What is Perfomance Testing

Lecture 7 VUsers

Section 2: Software Architecture

Lecture 8 Running Notes for this course created by the Students

Lecture 9 What is Architecture?

Lecture 10 The Importance of Architecture for Performance Testing

Lecture 11 What is A Server

Lecture 12 Understanding Servers

Lecture 13 Application Layers

Lecture 14 Two Tier Architecture

Lecture 15 Three Tier Architecture

Lecture 16 N Tier Architecture

Lecture 17 Know your Servers and Host Machines

Lecture 18 Protocol

Section 3: Installation of LR (LoadRunner)

Lecture 19 Installation of LoadRunner

Section 4: Performance Testing

Lecture 20 What is Performance Testing

Lecture 21 What is Performance Testing Part-2

Lecture 22 Terminology of PT

Lecture 23 Performance Testing Vs Performance Engineering

Lecture 24 Performance Testing Life Cycle (PTLC)

Section 5: NFR Gathering

Lecture 25 NFR Gathering

Lecture 26 NFR Gathering Part-2

Section 6: Work Load Modelling

Lecture 27 Work Load Modelling

Lecture 28 Work Load Modelling Part-2

Lecture 29 Work Load Modelling Part-3

Lecture 30 Little's Law

Lecture 31 Little's Law Part-2

Section 7: Introduction to LoadRunner

Lecture 32 Components of Loadrunner

Lecture 33 VUGen

Lecture 34 Controller

Lecture 35 Analyzer

Lecture 36 LR Architecture

Lecture 37 Where are LR Components Installed?

Lecture 38 Calculation of LG's

Lecture 39 LR Basic Flow

Section 8: VUGen

Lecture 40 VUGen Panes and Layouts

Lecture 41 Steps to Create a Script

Lecture 42 Protocol Advisor

Lecture 43 VUGen Recording Events Part1

Lecture 44 VUGen Recording Events Part2

Lecture 45 VUGen_Recording Events_Part3

Lecture 46 Why Protocol Needs to be set in VUGen?

Lecture 47 Protocol advisor

Lecture 48 VUGen LR Functions_Cache and cookies

Lecture 49 VUGen: Understanding Piece of code

Lecture 50 VuGen: Run-Time Settings (RTS)

Lecture 51 Recording Script Using VUGen

Lecture 52 HTTP Methods

Lecture 53 VuGen: Playback

Lecture 54 VUGen: Playback with Comments

Lecture 55 VuGen: Playback with Transactions

Lecture 56 Call Actions

Lecture 57 HTML Based Script And URL Based Script Part 1

Lecture 58 HTML Based Script And URL Based Script Part2

Lecture 59 HTML Based Script And URL Based Script Part3

Lecture 60 Check Points

Lecture 61 Text Check Points Part 1

Lecture 62 Text Check Points Part2

Lecture 63 Image Check Points

Lecture 64 Rendezvous Point

Section 9: C Functions

Lecture 65 C Functions

Lecture 66 C Functions: Datatypes

Lecture 67 C Functions: Declaration of Variables

Lecture 68 C Functions: Programming

Lecture 69 C Functions: Script Storage

Lecture 70 C Functions: Declaration of Strings

Lecture 71 C Functions: Comparison of Two Strings

Lecture 72 C Functions: Strcmp Function

Lecture 73 C Functions: Conversions - Part1

Lecture 74 C Functions: Conversions - Part2

Lecture 75 C Functions: Conversions Part3

Lecture 76 C Functions: Conversions Part4

Lecture 77 Where do we use conversions - Part 1

Lecture 78 Where do we use conversions - Part2

Lecture 79 Where do we use conversions - Part3

Section 10: Parameterization

Lecture 80 Purpose of Parameterization

Lecture 81 How to do Parameterization - Part1

Lecture 82 How to do Parameterization - Part2

Lecture 83 How to do Parameterization - Part3

Lecture 84 Parameterization - Part1

Lecture 85 Parameterization - Part2

Lecture 86 Parameterization - Part3

Lecture 87 Parameterization - Part4

Section 11: Correlation

Lecture 88 Correlation

Lecture 89 Why Correlation?

Lecture 90 How to do correlation? Part 1

Lecture 91 How to do correlation? Part 2

Lecture 92 How to do correlation? Part 3

Lecture 93 How to do correlation? Part 4

Lecture 94 How to do correlation? Part 5

Lecture 95 Correlation_ORD=ALL - Part1

Lecture 96 Correlation_ORD=ALL - Part2

Lecture 97 What if LB and RB spread across multiple lines?

Lecture 98 Defining Rules for Correlation

Lecture 99 Web_reg_save_Param() Function

Lecture 100 Regular Expressions - Part1

Lecture 101 Regular Expressions - Part2

Lecture 102 Web_reg_save_param() with regular expression - Part 1

Lecture 103 Web_reg_save_param() with regular expression - Part2

Lecture 104 Web_reg_save_param() with regular expression - Part3

Section 12: Types of Performance Testing

Lecture 105 Types of Performance Testing

Lecture 106 Load Test

Lecture 107 Why Load Test?

Lecture 108 Stress Test

Lecture 109 Endurance Test

Lecture 110 Scalability Test

Lecture 111 Volume Test

Section 13: Controller

Lecture 112 Controller

Lecture 113 Load Test Scenario

Lecture 114 Adding Load Generators

Lecture 115 Scenarios Creation

Lecture 116 Different Types of Scenarios (Basic Schedule and By Scenario)

Lecture 117 Different Types of Scenarios (Real World Schedule and Group)

Lecture 118 Service Level Agreements

Lecture 119 Scenario Run Time Settings - Part 1

Lecture 120 Scenario Run Time Settings - Part2

Lecture 121 Scenario Run Time Settings - Part3

Lecture 122 Controller_Rendezvous Point

Lecture 123 Monitoring servers through controller

Lecture 124 Windows resources

Lecture 125 Controller_Graphs

Lecture 126 Different File Extensions

Lecture 127 IP Spoofing

Lecture 128 Post execution Activity: VUser log

Section 14: Analyzer

Lecture 129 Analysis Summary

Lecture 130 Analysis: Transaction Summary Report

Lecture 131 Analyzer: Graphs

Lecture 132 Analyzer: Merging Graphs

Lecture 133 Analyzer: Session Explorer - Part1

Lecture 134 Analyzer: Session Explorer - Part2

Lecture 135 Thread Vs Process

Lecture 136 Benchmark Results Vs Baseline Results

Lecture 137 Need For Profiling Tools

Lecture 138 Analyzer Reports

Section 15: Bonus Section- Miscellaneous Topics

Lecture 139 Merging 2 Arrays - VuGen

Lecture 140 How to convert test scenario from percentage mode to Vuser mode

Lecture 141 Calling Functions from VuGen Script

Lecture 142 Generate Random Strong in LoadRunner

Lecture 143 Difference between Web submit form VS web submit data

Lecture 144 Parameterization Difference between each occurrence and each iteration

Lecture 145 Difference between Lr exit and Lr abort LR EXIT VS LR ABORT

Lecture 146 How to execute different same scripts in different browsers in Loadrunner

Lecture 147 Creating Functions in VuGen

Lecture 148 Create LoadRunner script from HAR file of Developer tools or Http Watch or fiddl

Lecture 149 what is your approach if the controller got crashed before collating the results

Lecture 150 Why Response times captured in dynatrace and loadrunner are different Same tes

Lecture 151 Does Transaction response times include failed transactions

Lecture 152 How to modify a request in Fiddler

Section 16: Real Time Project

Lecture 153 Real Time Project

Perfect for beginners to experienced level professionals who want to make career in performance testing,Performance Testers, Software Testers, QAs, Developers, BAs, Leads, and Managers,Entry level candidates who wants to learn Performance testing using LoadRunner,You can start this course with basic Manual Testing skills,Best QA testing career option for those who want to be in automation testing with basic programming skills

Code:

https://anonymz.com/?https://www.udemy.com/course/performance-testing-using-microfocus-loadrunner-basics-advanced/

Code:

https://rapidgator.net/file/c07a2b413573d20b0e04ef07ffeabab8/Performance_Testing_using_LoadRunner_1250.part1.rar
https://rapidgator.net/file/d6f6aa8f1a9f59c3bf2dcc71e1e6556f/Performance_Testing_using_LoadRunner_1250.part2.rar
https://rapidgator.net/file/9c6e7c17446fa78fe4b416b0557879e3/Performance_Testing_using_LoadRunner_1250.part3.rar
https://rapidgator.net/file/6d2c37013d70bca8049031a8aeb9f4e8/Performance_Testing_using_LoadRunner_1250.part4.rar

Code:

https://nitroflare.com/view/880131ABF7DE1FC/Performance_Testing_using_LoadRunner_1250.part1.rar
https://nitroflare.com/view/BB1CFA031DE7464/Performance_Testing_using_LoadRunner_1250.part2.rar
https://nitroflare.com/view/2526067567267DC/Performance_Testing_using_LoadRunner_1250.part3.rar
https://nitroflare.com/view/BE485C8DB0024A9/Performance_Testing_using_LoadRunner_1250.part4.rar

**Ajkula** · 09-14-2023, 08:58 PM

Build React E-commerce with NodeJs and MongoDB API with Payment Integration and 100 how-to solutions along the way

What you'll learn
React Web App Development
NodeJs API Development
Understand E-commerce Fundamentals
Implement User Cart on Your Own
Write Functional React Components
Payment Integration (Credit Card, PayPal) using Braintree - A PayPal Company
Authentication, Authorization and Protecting Routes (Back to Front)
Dedicated Shop Page for Advance Search based on Category and Price Range
Products and Category CRUD (Create, Read, Update, Delete)
Image Preview and Upload
Products Search Feature in Navigation Menu
Using React Context as Global State
Using Local Storage to Persist Data
Admin and User Dashboard
Load More Pagination Feature
Products Quantity and Sold Quantity Update on Each Sale
Order Management by Admin
Email Notification to Users

Requirements
Basic Understanding of JavaScript
Basic Understanding of React
Basic Understanding of NodeJs

Description
A FullStack E-commerce App is one of the most popular project for most developers. Everything you learn building an E-commerce project will help you build many other full stack projects because they all share the same concept. Plus, you learn to implement Payment System which is vital to E-commerce apps any many other apps that has some type of monetization system in place. This is one of the main reason why E-commerce based courses are some of the most popular courses here on Udemy.

Why would you want to enroll into this course?

In this course, I have proved that E-commerce apps do not have to be overly complicated. You will be surprised how easy it is to build such rich app. With just the basic knowledge of React and Node, you will be able to build incredible apps of any kind. What you need is an effective way of learning complex topics in easy, practical way which I have provided in this course.

Why yet another E-commerce course?

I already have two E-commerce courses here on Udemy. So why create another one? First of all those existing E-commerce apps are very different in terms of functionalities and extra features. Another reason is the timing. The technology changes at rapid speed. The packages uses last year to create apps are no longer the same this year. That makes it very hard for new students to follow along. Besides E-commerce is one of the most popular project based course here in Udemy. So I had to make another one to make it easier for new developers. There is a lot of improvements in this course, the steps are much easier and straight forward. The code is cleaner and easier to understand.

Is this course suitable for you?

Yes, If you already know the basics of JavaScript, React and NodeJs. If not, then do not worry. Checkout the first few videos of this course for detailed instructions on how to make yourself ready to take on this project. Once you know the basics, you need more and more practice and I can not think of any other project than building E-commerce app from absolute scratch. The amount of knowledge you will gain in this course will be amazing. You will be able to start and successfully build any type of full stack app on your own after completing this course.

What will you learn in this course?

There is so much to learn. In short, you will learn to build React Web App that interacts with NodeJs API. Your app will be fully protected with the Authentication, Authorization and Protected Routes. With hundreds of how-to solutions, you will be amazed at how much you learn in one single course. Each line of code is explained and the clarity of code makes it an absolute joy to build this project.

What makes this course special?

This is the only course where you will learn well over hundreds of how-to solutions. All that in one single course, in one single project. With the beautiful workflow of building an entire E-commerce app from absolute scratch, adding features one after another, the understanding will flow into your brain in a natural way. With hundreds of how-to concepts covered throughout the building process, you will naturally get better at each exercise and implementation makes a lot of sense without any confusion.

What are some of the course highlights?

There are so many exciting features covered in this one course, you will be blown away by excitement and joy. Here are some of the exciting features you will learn to add to your web development skill set

Creating, reading, updating and deleting products and categories

Uploading images

Using custom product card components to display products

Advance searching and filtering of products

Products based on categories

Sorting products by created date and sold quantity

Product in-stock/out-of-stock, sold quantity update etc

View product with relative products (suggestive selling)

User cart and orders history

Admin and user dashboards

Order management by admin

Email notification to users on order status change

Protected routes for logged-in and admin users

Braintree Payment System (Credit Card and PayPal)

Role based access

and lots more...

Join this incredible full stack course that guides you on how to build a real E-commerce app from absolute scratch with each line of code explained for you.

Experience the best learning experience with me Ryan while we build this beautiful project from the very beginning.

Who this course is for
JavaScript Developers learning to Build Real Apps with React
JavaScript Developers learning to Build NodeJs API
JavaScript Developers learning to Build E-commerce App with Advance CRUD, Authentication, Authorization, Searching and Filtering

Code:

https://anonymz.com/?https://www.udemy.com/course/react-ecommerce

Code:

https://rapidgator.net/file/283d14487cb75dd09875380643526cc5/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part1.rar
https://rapidgator.net/file/bb9da10a4ab992c122001e880e8f2e80/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part2.rar
https://rapidgator.net/file/f6a28b3a61c4167c6621f9404836f15b/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part3.rar

Code:

https://nitroflare.com/view/5CBBE2C9F50ACD4/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part1.rar
https://nitroflare.com/view/5FB0405F8CDDF1D/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part2.rar
https://nitroflare.com/view/8F2E19B5A262584/MERN_STACK_2022_React_E-Commerce_Node_API_with_116_How-Tos.part3.rar

**Ajkula** · 09-14-2023, 09:02 PM

Qt 5 C++ Gui Development - Intermediate
Last updated 9/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 43.53 GB | Duration: 39h 50m

Learn Intermediate Qt C++ GUI : Events, Painting, Model View Architecture, Graphics View Framework, Deployment and more.

What you'll learn
Event Programming
Custom Widgets
Painting and Drawing
Drag and Drop
Copying data through the clipboard
Model View Architecture
Graphics View Framework
Implementing Copy, Cut and Paste Features in Qt Apps
Saving and Loading Documents
Undo Redo in Qt Apps
Building Resizable Items in Graphics View
Multi Language Support in Qt Apps
Deploying Qt applications on Windows and Linux and Mac
Building Games and Painting Applications with Qt

Requirements
Basic Knowledge of Qt C++ GUI Development

Description
Special note : This course is based on Qt 5. Qt 6, released in December 2020 is the latest version. We are working on updates to take Qt 6 into account that will be completed over the next couple of months. In the mean time, we recommend using Qt 5 for the best experience with the course.Qt is a mature cross platform application development framework you can use to develop for Windows, Mac ,Linux, Mobile and Embedded Devices.This course will teach you some of the advanced features of the Qt framework. This is not a beginners course. It is a follow up course on our Qt 5 C++ GUI Development for Beginners course, so you should have completed that course or have similar experience from elsewhere. The course is packed with lots of tips and tricks, to help you master what it takes to build professional GUI applications using C++ and Qt. The lectures are carefully designed and revolving around demos that are to the point and easy to understand. Cutting down the fat and helping you understand a given topic at hand.This course is is not just about theory and simple demos. No !We will do theory and simple demos because you need that to understand the basics. But we will go even further and not build full fledged practical projects for you to put together and practice all the knowledge in the course. You will build a clone of the Flappy Bird game and a full fledged painting application that supports tons of cool features like drawing with the pen, erasing , re-sizable shapes, copy, cut and paste, drag and drop , undo redo , saving and loading documents and many more features.Here are some of things you'll get to master in the course : Event Programming in QtBuilding Custom WidgetsPainting and Drawing with QtDrag and Drop in Qt WidgetsAdvanced Features in Qt Model View ProgrammingGraphics View FrameworkCopy, Cut and Paste Features in GUI applicationsBuilding Resizable Graphics Items Saving and Loading Documents in your Qt applicationsUndo RedoBuilding read only and editable tree models from scratch Supporting multiple languages in your Qt C++ GUI applicationsDeploying your Qt applications on Windows, Mac and Linux and way way more...Towards the end we will build a complete Graphics View based Painting application and a clone of the popular Flappy Bird game for you to put together and use all the knowledge in the course on real projects.The course was carefully designed to get you to build projects step by step, making even complex concepts easy to understand. If you're looking to build professional grade Qt C++ GUI applications, then this course will help you get there in the shortest amount of time possible.Qt is the platform of choice for thousands of software projects, both open source and commercial, including the one we to record our videos. If you want to use C++ to build professional grade GUI applications, that can run virtually on any platform out there, Qt is second to none in that regard. Please check out some of the preview videos and let's get you started building professional C++ GUI applications using Qt.

Overview

Section 1: Introduction

Lecture 1 Welcome

Lecture 2 Teaser

Section 2: Event Handling

Lecture 3 Overview of Events in Qt

Lecture 4 Events Demo : Playing with Events

Lecture 5 Event Loop, Propagation, and Methods To Handle Events : Theory

Lecture 6 Event Propagation

Lecture 7 Handle Events : Override QApplication::notify

Lecture 8 Handle Events : Override QObject::event

Lecture 9 Handle Events : Event Filter On QApplication

Lecture 10 Handle Events : Event Filter On QObject

Lecture 11 Event Sources : Posting and Sending Events - Theory

Lecture 12 Posting and Sending your own Events : A Demo

Lecture 13 Event Handling : Section Overview

Section 3: Custom Widgets

Lecture 14 Custom Widgets Overview

Lecture 15 Composing Widgets

Lecture 16 Modifying Existing Widgets

Lecture 17 Modifying Existing Widgets : Double Clickable Button

Lecture 18 Custom Widgets From Scratch

Lecture 19 Promoting Widgets

Lecture 20 Making Your Custom Widgets Available in Qt Creator(Designer)

Lecture 21 Section Overview

Section 4: Painting and Drawing

Lecture 22 Drawing Overview

Lecture 23 Coordinate Systems

Lecture 24 Drawing on Pixmaps

Lecture 25 Drawing Shapes

Lecture 26 QPen

Lecture 27 QBrush

Lecture 28 Brush Gradients

Lecture 29 PainterPath

Lecture 30 Painter Transforms

Lecture 31 Draw Car Demo

Lecture 32 Shape Maker Demo Part 1/2

Lecture 33 Shape Maker Demo Part 2/2

Lecture 34 PainterApp v1 : Concepts

Lecture 35 PainterApp v1 : Setting Up User Interface

Lecture 36 PainterApp v1 : Setting Up Drawing Canvas

Lecture 37 PainterApp v1 : Drawing Shapes

Lecture 38 Section Review

Section 5: Drag and Drop / Clipboard

Lecture 39 Drag and Drop in Widgets : Chapter Overview

Lecture 40 Drag and Drop Overview

Lecture 41 Drag and Drop : A Demo

Lecture 42 Dragging an Image : A Demo

Lecture 43 Dragging and Dropping Between Widgets : Concepts

Lecture 44 Dragging and Dropping Between Widgets : Project Setup

Lecture 45 Dragging and Dropping Between Widgets : Initiating Drag Events

Lecture 46 Dragging and Dropping Between Widgets : Handling Drop Events

Lecture 47 Subclassing MimeData : A Demo

Lecture 48 Working with the Clipboard : A Demo

Lecture 49 Clipboard Demo2 : Painter App with Clipboard

Lecture 50 Drag and Drop in Widgets : Chapter Review

Section 6: Model View Architecture Advanced

Lecture 51 Model View Architecture : Chapter Overview

Lecture 52 Predefined Widgets : QListWidget

Lecture 53 Predefined View Widgets : TableWidget

Lecture 54 Predefined View Widgets :TreeWidget

Lecture 55 Predefined Models : QFileSystemModel

Lecture 56 Predefined Models : StringListModel

Lecture 57 Predefined Models : SortFilterProxyModel

Lecture 58 Custom Models : Read Only Model

Lecture 59 Custom Models : Editable Model With Header Data

Lecture 60 Custom Models : Adding and Removing Rows from Editable Model

Lecture 61 Custom Models : Custom Roles

Lecture 62 Custom Models : Table Model

Lecture 63 Custom Models : Delegates

Lecture 64 Custom Models : Delegate Custom Painting

Lecture 65 Custom Models : Custom Star Delegate

Lecture 66 Challenge : Delegates

Lecture 67 Drag and Drop In Custom Models : Theory

Lecture 68 Drag and Drop in Convenience Widgets

Lecture 69 Drag and Drop at Item Level

Lecture 70 Drag and Drop in Custom Models

Lecture 71 Custom Full Read Only Tree Model - Overview

Lecture 72 Custom Full Read Only Tree Model - Reading Data From File

Lecture 73 Custom Full Read Only Tree Model - Person Model, Wrapping Data

Lecture 74 Custom Full Editable Tree Model : Overview

Lecture 75 Custom Full Editable Tree Model : Person

Lecture 76 Custom Full Editable Tree Model : PersonModel

Lecture 77 Custom Full Editable Tree Model : User Interface

Lecture 78 Model View Architecture : Chapter Overview

Section 7: Graphics View Framework

Lecture 79 Graphics View Framework : Chapter Overview

Lecture 80 Getting Started : Adding Items

Lecture 81 Getting Started : Key Events and Scene Size

Lecture 82 Getting Started : Coordinate Systems

Lecture 83 Event Propagation

Lecture 84 Parent Child Relationship

Lecture 85 Drawing Items

Lecture 86 Working with Selections

Lecture 87 Working with Transforms

Lecture 88 Working with Selection Areas : Set Up

Lecture 89 Working with Selection Areas : Draw Foreground , Draw Background

Lecture 90 Working with Selection Areas : Zooming, Reset and Fit in View

Lecture 91 Building Resizable Items : Theory

Lecture 92 Resizable Items : Raw Resizable Rectangle Item

Lecture 93 Resizable Items : Raw Resizable Pixmap and Star Item

Lecture 94 Resizable Items : Formal Interface

Lecture 95 GraphicsScene : Render Scene To Image

Lecture 96 Housing WIdgets in Graphics Scene

Lecture 97 Drag And Drop : ShapeListWidget

Lecture 98 Drag and Drop : ColorListWidget

Lecture 99 Drag and Drop : Drop in Scene

Lecture 100 Drag and Drop : Drop on GraphicsItem

Lecture 101 Practice Project : Flappy Bird Game , Project Setup

Lecture 102 Flappy Bird Game : PillarItem

Lecture 103 Flappy Bird Game : BirdItem

Lecture 104 Flappy Bird Game :Make Bird Fly Up

Lecture 105 Flappy Bird Game :Collision Detection

Lecture 106 Practice Project : PainterApp , Project Setup

Lecture 107 PainterApp : Pen Strokes

Lecture 108 PainterApp : Eraser

Lecture 109 PainterApp : Geometric Shapes

Lecture 110 PainterApp : Delete Key and Load Image

Lecture 111 PainterApp : Rubber Band Selection

Lecture 112 GraphicsView Framework : Chapter Review

Section 8: Miscellaneous : Tuning Painter App Features like a real App

Lecture 113 Chapter Overview

Lecture 114 User Interface Clean Up : Project setup

Lecture 115 Pen Properties : Pen Color

Lecture 116 Pen Properties : Pen Style and Width

Lecture 117 Pen Properties : Color Picker

Lecture 118 User Interface Clean Up : Brush Properties

Lecture 119 User Interface Clean Up : Canvas Properties

Lecture 120 Tool Cursors

Lecture 121 Copy , Cut Paste : Overview

Lecture 122 Copy , Cut Paste : Overriding Read(>>) and Write(<<) Operator Methods for Items

Lecture 123 Copy , Cut Paste : Building the StrokeItem class

Lecture 124 Copy , Cut Paste : Datastream Read and Write Methods

Lecture 125 Copy , Cut Paste : Finalizing the Feature

Lecture 126 Copy , Cut Paste : Fix StrokeItem position

Lecture 127 Saving and Loading Documents

Lecture 128 Undo Redo : Overview

Lecture 129 Undo Redo :AddCommand

Lecture 130 Undo Redo : RemoveCommand

Lecture 131 Undo Redo : MoveCommand

Lecture 132 Fix Smoothness

Section 9: Internationalization

Lecture 133 Internationalization Overview

Lecture 134 Project Setup, Prepare Strings

Lecture 135 Generating TS Files

Lecture 136 Translating in Qt Languist

Lecture 137 Creating QM Files

Lecture 138 Using QTranslator

Lecture 139 Loading official Qt Translations

Lecture 140 Saving User Translation Choice

Section 10: Application Icons

Lecture 141 Application Icons

Section 11: Deployment

Lecture 142 Deployment Overview

Lecture 143 Deployment on Windows : Manual Dependency Loading

Lecture 144 Deployment on Windows : windeployqt

Lecture 145 Deployment on Windows : Qt Installer Framework

Lecture 146 Deployment on Linux : linuxdeployqt

Lecture 147 Deployment on Linux : Qt Installer Framework

Lecture 148 Deployment on Mac OS

Section 12: Next Steps

Lecture 149 Next Steps

Developers , Researchers and Students willing to build professional grade Qt C++ GUI applications

Code:

https://anonymz.com/?https://www.udemy.com/course/qt-c-gui-development-intermediate/

Code:

https://rapidgator.net/file/3bc724a71a794fa310caabbb02aee62d/Qt_5_C_GUI_Development_Intermediate.part01.rar
https://rapidgator.net/file/e6d6f142df7e377cc15bd7fbe7684289/Qt_5_C_GUI_Development_Intermediate.part02.rar
https://rapidgator.net/file/bb459db2288e3582ffd618bcb150cf49/Qt_5_C_GUI_Development_Intermediate.part03.rar
https://rapidgator.net/file/07804b65c0ead49b224ac3aab8e0152c/Qt_5_C_GUI_Development_Intermediate.part04.rar
https://rapidgator.net/file/df43dd961d614b88daf27ab37f025a38/Qt_5_C_GUI_Development_Intermediate.part05.rar
https://rapidgator.net/file/bf00036f3905246f3460521d3c2b7887/Qt_5_C_GUI_Development_Intermediate.part06.rar
https://rapidgator.net/file/d88554d0ae82eb7fd7a94a34ba977257/Qt_5_C_GUI_Development_Intermediate.part07.rar
https://rapidgator.net/file/8b24bd993347fdbaedb04e184a64377f/Qt_5_C_GUI_Development_Intermediate.part08.rar
https://rapidgator.net/file/06a53e0b800263c02af9c49f7e908fe4/Qt_5_C_GUI_Development_Intermediate.part09.rar

Code:

https://nitroflare.com/view/4A04F1344CE93DF/Qt_5_C_GUI_Development_Intermediate.part01.rar
https://nitroflare.com/view/359443C626B0509/Qt_5_C_GUI_Development_Intermediate.part02.rar
https://nitroflare.com/view/BF2C8D4DF34B951/Qt_5_C_GUI_Development_Intermediate.part03.rar
https://nitroflare.com/view/1ED5777EACFFBED/Qt_5_C_GUI_Development_Intermediate.part04.rar
https://nitroflare.com/view/06B2BD797784316/Qt_5_C_GUI_Development_Intermediate.part05.rar
https://nitroflare.com/view/FEBA4629509C1B7/Qt_5_C_GUI_Development_Intermediate.part06.rar
https://nitroflare.com/view/62E64133996A6F0/Qt_5_C_GUI_Development_Intermediate.part07.rar
https://nitroflare.com/view/63FEE9BF14C0732/Qt_5_C_GUI_Development_Intermediate.part08.rar
https://nitroflare.com/view/AACB3197F6AB4E3/Qt_5_C_GUI_Development_Intermediate.part09.rar

**Ajkula** · 09-14-2023, 09:05 PM

Qt Quick And Qml For Beginners (Qt 5): The Fundamentals
Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.13 GB | Duration: 14h 36m

Build Cross Platform Fluid And Dynamic UIs. Run Them on Windows, Mac, Linux, Android,iOS and Embedded.

What you'll learn
The basics of working with the QML language
Working with Qt Quick basic elements and building your own in QML
Signals and slots in QML
Working with input elements
Working with Javascript in QML
Positioning elements in QML
Running your QML Apps on Android
Qt Quick Controls 2 framework
Working with Dialogs in QML
Models,Views and Delegates
Transforms,Transitions and Animations
Networking : Fetching HTTP Data and JSON(REST) APIs
Settings and Local Storage

Requirements
Open mind and strong willingness to learn
A basic understanding of Javascript will be useful but not required
An eye for design

Description
Special note : This course is based on Qt 5. Qt 6, released in December 2020 is the latest version. We are working on updates to take Qt 6 into account that will be completed over the next couple of months. In the mean time, we recommend using Qt 5 for the best experience with the course.Qt Quick (QML) is the latest and greatest technology from the Qt Framework, to build slick looking , fluid, dynamic and cross platform User Interfaces that can run mobile devices(Android,IoS, touch devices (embedded) and any major desktop platform out there(Linux,Windows,Mac). Qt Quick can be used to build stand-alone applications, but it can also be interfaced and/or extended with a C++ back end.The main aim of this course is to help you succeed in becoming a Qt Quick/QML GUI Designer and do so in the most effective amount of time possible. The course is packed with lots of straight to the point, easy to understand demos, that are carefully designed to help you master a given Qt Quick UI development topic at hand.The target student is anyone willing to add Qt Quick/QML UI design to their stack of skills. While Qt Quick is built on top of Qt and C++, no knowledge of Qt or C++ is required. The course will equally be useful to both designers willing to jump into Qt Quick and existing C++ developers willing to level up their skills in fluid UI design.We start by getting your development environment set up and get you to run your first Qt Quick application. We then jump into topics likeDissecting the QML Syntax , where we explore subjects like the QML syntax, Basic Types of QML, Properties and Handlers,Property Binding and the Qt Quick Global Object;Qt Quick Basic Elements, and look at elements like Rectangle,Text, Image and Item;Signals and Slots;Working with Javascript, where we explore the javascript environment available to you in QML, where and how to type your Javascript code in QML files, functions and scope and importing external Javascript files;User Input Elements : TextInput, TextEdit, MouseArea and drag and drop, Keys Attached Properties, KeyNavigation and FocusScopeQt Quick Positioning and explore subjects like Anchors, Positioners, Layouts and FlowQt Quick on Mobile Devices : we take you on a detailed journey on how to run your Qt Quick Apps on Android and guide you on how you would do the same on IoS.Qt Quick Controls where we explore a host of Ui Components available and ready to be consumed by your awesome apps ; Dialogs : ColorDialog, FileDialog,FontDialog, MessageDialog and Custom DialogsModel , View and Delegate where we explore the pieces of the puzzle needed to take advantage of the Model View Delegate Architeture in Qt QuickTransitions, Transforms and Animations : Oooh Animations! This is the most fun and captivating subject for me in Qt Quick. We take you on a tour of how you animate your Qt Quick Components and bring your designs to life using tricks like states and transitions.Network : We show you how to download HTTP data using XmlHttpRequest and how to consume REST APIs in your Qt Quick apps using the same Javascript ObjectStorage : We first use the Settings component from the Qt.labs module to save and load your applications settings and do the same thing using the LocalStorage module that is backed by an embedded SQLite database.Qt is the platform of choice for thousands of software projects and some of the most successful companies on the planet. Learning Qt Quick will certainly level up your abilities in taking advantage of this rich and awesome framework. Please check out some of the preview videos and lets get you STARTED building slick and fluid User Interfaces with Qt Quick.

Overview

Section 1: Introduction

Lecture 1 Welcome

Lecture 2 Install Qt & Tools on Windows

Lecture 3 Installing Qt & Tools on Linux

Lecture 4 Running your QML Applications

Lecture 5 Join the Official Support Channels

Lecture 6 About Qt Technologies

Section 2: Dissecting the QML Syntax

Lecture 7 QML Syntax : An Overview

Lecture 8 Basic Types of the QML Language-Part1

Lecture 9 Basic Types of the QML Language-Part2

Lecture 10 Property Binding in QML

Lecture 11 The QtQuick Global Object

Lecture 12 Properties and Handlers

Section 3: Qt Quick Basic Elements

Lecture 13 A tour of Qt Quick basic Elements Part 1 : Item, Rectangle and Text

Lecture 14 A tour of Qt Quick basic Elements Part 2 : Image

Lecture 15 Building your own custom elements

Section 4: Signals and Slots

Lecture 16 Signals and Slots Explained

Lecture 17 Signals and Slots Demo1

Lecture 18 Signals and Slosts Demo2 ( Have two external components communicate)

Section 5: User Input Elements

Lecture 19 User Input Elements Overview

Lecture 20 TextInput Element

Lecture 21 TextEdit Element

Lecture 22 MouseArea , Drag and Drop

Lecture 23 Keys Attached Properties

Lecture 24 Key Navigation

Lecture 25 Focus Scope

Section 6: Working with Javascript

Lecture 26 How Javacript fits into QML

Lecture 27 Javascript Used in QML Code

Lecture 28 Functions and Scope

Lecture 29 Direct Import of External JS Files

Lecture 30 Indirect Import of External JS Files

Section 7: Qt Quick Positioning

Lecture 31 Qt Quick Positioning Offerings(Intro)

Lecture 32 Anchors Part1

Lecture 33 Anchors Part2

Lecture 34 Positioners

Lecture 35 Layouts

Lecture 36 Flow

Section 8: Qt and Qt Quick on Mobile Devices

Lecture 37 Qt on Multiple Platforms

Lecture 38 Android Environment Setup

Lecture 39 Running your Qt Quick App on Android

Lecture 40 Qt on IOS

Section 9: Qt Quick Controls

Lecture 41 Qt Quick Controls Introduction

Lecture 42 Button Control

Lecture 43 Button Control (Mobile) : Yet another Qt on Android Demo

Lecture 44 Busy Indicator Control

Lecture 45 CheckBox Control

Lecture 46 ComboBox Control

Lecture 47 Delay Button

Lecture 48 Dial Control

Lecture 49 Frame

Lecture 50 GroupBox, RadioButton and CheckBox

Lecture 51 SwipeView and PageIndicator

Lecture 52 ProgressBar

Lecture 53 RangeSlider

Lecture 54 Flickable and ScrollBar

Lecture 55 Slider

Lecture 56 Switch

Lecture 57 Page, SwipeView and TabBar

Lecture 58 Background Property of the TextArea Control

Lecture 59 TextArea

Lecture 60 TextField and Label

Lecture 61 SplitView Control

Lecture 62 Drawer Control

Lecture 63 SpinBox Control

Lecture 64 Application Window and Menus (Desktop)

Section 10: Dialogs

Lecture 65 Introduction to Dialogs in Qt Quick

Lecture 66 ColorDialog

Lecture 67 FileDialog

Lecture 68 FontDialog

Lecture 69 MessageDialog

Lecture 70 CustomDialogs

Lecture 71 Qt5.12 Note : Dialog Component Binding Loop Warning

Section 11: Models Views and Delegates

Lecture 72 Introduction to Model View Architecture

Lecture 73 ListView and ListModel

Lecture 74 Using a Direct(Inline) Models and Delegates

Lecture 75 Decorations : Headers, Footers and Highlights

Lecture 76 Decorations : Sections

Lecture 77 Repeaters

Lecture 78 Modifying your Models Dynamically

Lecture 79 GridView

Lecture 80 XMLListModel

Section 12: Transforms, Transitions and Animations

Lecture 81 Introduction to Transforms, Transitions and Animations

Lecture 82 Working with Transforms

Lecture 83 Working with Animations

Lecture 84 Standalone Animations

Lecture 85 Easings Explained

Lecture 86 Grouped Animations

Lecture 87 Demo : Animated Ball Bounce

Lecture 88 States and Transitions

Lecture 89 States with Gradients

Section 13: Networking

Lecture 90 Intro to Networking in QML

Lecture 91 Downloading Http Data

Lecture 92 Consuming REST APIs in Qt Quick App

Section 14: Storage

Lecture 93 Qt Quick Storage Offerings

Lecture 94 Settings

Lecture 95 Custom Settings

Lecture 96 SQLite

Section 15: Best Practices + BONUS

Lecture 97 Best Practices,Next Steps + Bonus

Designers willing to jump into Qt Quick Prototyping and UI Design,Existing Qt C++ Programmers willing to add Qt Quick to their Arsenal,Anyone willing to build Fluid and Dynamic User Interfaces capable of running on desktop, mobile and embedded devices

Code:

https://anonymz.com/?https://www.udemy.com/course/qt_quick_qml_tutorial_for_beginners/

Code:

https://rapidgator.net/file/eaa88973f5e91819cd056bfd885ef9e5/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part1.rar
https://rapidgator.net/file/3f01184f317a741f4ae352343e48eb5e/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part2.rar
https://rapidgator.net/file/7d8f59b987f3b7ee65356cc162b619ce/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part3.rar

Code:

https://nitroflare.com/view/8AE2E5D0BA945A4/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part1.rar
https://nitroflare.com/view/E78FE7930F65401/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part2.rar
https://nitroflare.com/view/87C87600A2F8B8D/Qt_Quick_and_QML_For_Beginners_Qt_5_The_Fundamentals.part3.rar

**Ajkula** · 09-14-2023, 09:08 PM

Get started with Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas in this ultimate six-course bundle!

What you'll learn
The Tableau interface and its major functions
Which data structures are suitable for Tableau
Connect and manage data sources in Tableau
Create a dashboard in Tableau and animate your visualizations
Use calculated fields and spatial functions in Tableau
Level of Detail (LOD) expressions
Advanced filters and table calculations in Tableau
Advanced Tableau charts circular, sunburst, bump, funnel, candlestick, and Sankey charts
Using Alteryx workflows to cut out repetitive tasks
Creating reports in Alteryx that run on demand
Building visual workflows in Alteryx
Building a k-centroid clustering model using Alteryx
Using multiple files and Calgary in Alteryx
All about Machine Learning and the Alteryx Intelligence Suite
Take your apps and macros to the next level in Alteryx
Data cleansing, manipulation, binning, and grouping in Alteryx
How to become a Qlik Sense designer
All about the different charts and graphs available in Qlik Sense
How to create your analysis in the Story Telling tab
How to use the Qlik Sense Geo Analytics tools (maps)
An overview of Pandas and installing Pandas on your computer
Using the two primary Pandas data structures, Series and DataFrame
Viewing data imported from an external source and using Pandas for data preprocessing
Organizing input data using indexing and filtering and formatting your data most efficiently
Processing different data types and data manipulation using string functions

Requirements
Access to the relevant software/application is beneficial (Tableau Desktop, Alteryx, Qlik Sense, Python and Pandas)
An understanding of data analytics is helpful
A fundamental understanding of basic Python syntax to take the Pandas course is needed

Description
** This course bundle includes practice exercises and downloadable data files to work and follow along with, plus LIFETIME access!

In this incredible-value, six-course bundle, learn and master the essential tools that can help turn your large complex data into meaningful visualizations that are easier to understand.

If you want to get started with data analytics and visualization software, then this Data Visualization Toolkit is a good place to begin. This bundle includes six full beginner and advanced courses in Tableau Desktop, Alteryx, Qlik Sense, and Python Pandas.

What's included?

Tableau for Beginners

What Tableau is and the product suite

What business intelligence is

The Tableau interface and its major functions

Which data structures are suitable for Tableau

How Tableau reads and categorizes data

Different data concepts and theory

How to connect and manage data sources in Tableau

How to navigate the Tableau workspace

How to build a view and different chart types in Tableau

How to create a dashboard in Tableau

How to publish and share a workbook

How to use calculated fields in Tableau

How to use numeric, string, conditional, and analytical expressions/functions in Tableau

Introduction to Alteryx

Using Alteryx workflows to cut out repetitive tasks

Building visual workflows in Alteryx

How to make the most of 'Favorite Tools' as core Alteryx building blocks

Filtering data in Alteryx

Using the basic functions in Alteryx to match data

How to dynamically rename datasets

How to parse data in Alteryx

Creating reports in Alteryx that run on demand

Using the predictive tools in Alteryx to perform data analysis

Building a k-centroid clustering model using Alteryx

Creating a logistic regression in Alteryx

Making a decision tree-based regression in Alteryx

Constructing a random forest-based model

Getting Started in Qlik Sense

The difference between Qlik Sense and Qlik View

How to load data in Qlik Sense

How to create and upload apps in Qlik Sense

All about the different charts and graphs available in Qlik Sense

All about Tables and Pivot Tables in Qlik Sense

How to create your analysis in the Story Telling tab

About numeric and string functions in Qlik Sense

How to use the date and time formatting functions

How to use Conditional Functions

How to combine tables using JOIN, KEEP and CONCATENATE

How to use different charts and tables

How to use the Qlik Sense Geo Analytics tools (maps)

Tableau Advanced

Parameters and sample use cases

Level of Detail (LOD) expressions

Working with groups and sets

Use of spatial functions

Advanced filters

Table calculations

How to add interactivity using actions

Animating your visualizations

Advanced Tableau charts circular, sunburst, bump, funnel, candlestick, and Sankey charts

Building geospatial dashboards and sales dashboards

Creating dashboards that utilize radial charts

Alteryx Advanced

Using multiple files and Calgary

Sampling data and using wild matches

Data cleansing, manipulation, binning, and grouping

Using RegEx (regular expressions) and parsing XML

Working with In-Database

Blending, selecting, and summarizing data

Take your apps and macros to the next level

Using iterative and batch macros

Understanding app errors and conditions

Customizing apps and macros

All about Machine Learning and the Alteryx Intelligence Suite

Pandas for Beginners

An overview of Pandas

Installing Pandas on your computer

Using the two primary Pandas data structures, Series and DataFrame

Viewing data imported from an external source

Organizing input data using indexing and filtering

Using Pandas for data preprocessing

Addressing missing values and duplicate rows

Formatting your data most efficiently

Processing different data types

Data manipulation using string functions

Date and time formatting

This course includes

29+ hours of video tutorials

170+ individual video lectures

Certificate of completion

Course and Exercise files to help you follow along

Did you know?

Simon Sez IT teaches all sorts of software, including

Microsoft Excel

Microsoft PowerPoint

Microsoft Word

Microsoft Project

Microsoft Outlook

QuickBooks

Photoshop Elements

Web Development Languages

And so much more!

Who this course is for
Data Analysts and Data Scientists
Anyone looking to turn raw data into meaningful business visualizations
Anyone interested in data visualization
People who are brand-new to Tableau, Alteryx, Qlik Sense, and/or Pandas
Users who have a foundation in Tableau, Alteryx, or Qlik Sense and are seeking to advance their skills
Beginner Python developers and those who want to learn and use Pandas library

Code:

https://anonymz.com/?https://www.udemy.com/course/the-complete-data-visualization-toolkit-bundle/

Code:

https://rapidgator.net/file/94c444a89c12ff6ea17fc44ff74544eb/The_Complete_Data_Visualization_Toolkit_Bundle.part1.rar
https://rapidgator.net/file/8e367331a9476ff4b22368d67e57c3e0/The_Complete_Data_Visualization_Toolkit_Bundle.part2.rar
https://rapidgator.net/file/19e7584304a27750697a0958b2d0f96e/The_Complete_Data_Visualization_Toolkit_Bundle.part3.rar

Code:

https://nitroflare.com/view/08536876D3AB168/The_Complete_Data_Visualization_Toolkit_Bundle.part1.rar
https://nitroflare.com/view/317B8B06AABCEC2/The_Complete_Data_Visualization_Toolkit_Bundle.part2.rar
https://nitroflare.com/view/398ABC73F9C7968/The_Complete_Data_Visualization_Toolkit_Bundle.part3.rar

**Ajkula** · 09-14-2023, 09:12 PM

Create the complete 2D survival game in Unity with C#. Learn game development patterns. Become an Indie developer.

What you'll learn
Get an understanding of game development in practical and fun way.
Create a complete game that will shine in your portfolio.
Use gained knowledge to start creating Indie games.
Establish yourself in the field of the exciting game development.

Requirements
Base knowledge of C# and Unity - The course doesn't cover basics

Description
What is Unity?

Unity is a cross-platform game engine. The Unity editor is supported on Windows, macOS, and the Linux platform. In contrast, the engine currently supports building games for over 25 platforms, including mobile, desktop, consoles, and virtual reality.

What are we going to build?

The course covers the development of one production-ready game. The type of game is 2D survival with a top-down view.

Project - Undead Survival

The main effort of this course is to show the viewer how to build a complete game from scratch. The game's goal is to survive as long as possible with infinite waves of enemies coming at the game protagonist.

The most important parts of the course are

Scriptable Objects

Scriptable objects will be essential in creating the Statemachine, Ability system, and Action delegation. Scriptable objects make the project reusable and modular.

State Machine

Statemachine is the brain of the AI system. Every NPC can have different states (run, attack ...), while only one state can be active at a time. Every state can have multiple actions. Action is the behavior.

For example, the Enemy has a "Patrol" state. A patrol state can have two actions. One action is to provide movement to the enemy. Another action is to change the animation of the enemy to the walk.

The third component of the Statemachine is a condition. Condition is a boolean statement. When the statement or multiple statements are resolved as "true" the current state can be transited to the new one.

For example, if an enemy is in the "patrol" state and the "spot player condition" is resolved as "true", then an enemy can go to the "attack" state.

Enemies will have a straightforward state machine. More complex state machines will be applied to boss entities.

Ability System

A player and enemies can have different abilities. Each ability has stats, such as damage, cooldown, range, effect, and many others. Each ability is created as a scriptable object, which can be easily reused and changed to the required needs. There are two main types of abilities, passive and active ones. Passive ones are the abilities that are played automatically at a specific interval. Active ones need to be activated by some external input, such as a key-stroke of the player.

Other Parts

The course also covers other essential topics such as the spawning mechanism for the enemies, the UI system to display applied damage, game time, and other vital stats. There is also damage and health system. Next, the course covers the creation of the start/options menu with the options to navigate and choose different protagonists. The game is finished when the hero dies. When this happens, the score screen is displayed, and the game can be replayed infinitely.

Many other smaller topics will be covered in the course.

Main Goal

The main goal of the course is to teach how to create reusable systems that can be used in different games. The course focuses on the reusability of each component.

Who this course is for
Anybody interested in Game Development and Coding
People looking for a practical game development guide.
This course is for everyone eager to understand how to build a game from scratch.

Code:

https://anonymz.com/?https://www.udemy.com/course/unity-2d-with-c-complete-game-dev-course/

Code:

https://rapidgator.net/file/78de1de7f0721487877e7db5dd3ea2b8/Unity_2D_With_C#_-_Complete_Game_Development_Course.part1.rar
https://rapidgator.net/file/041659e1a5a481998b75487b64508c74/Unity_2D_With_C#_-_Complete_Game_Development_Course.part2.rar
https://rapidgator.net/file/d23bdeb76138be81614df4c18481af71/Unity_2D_With_C#_-_Complete_Game_Development_Course.part3.rar

Code:

https://nitroflare.com/view/4A62A061A51AA36/Unity_2D_With_C%23_-_Complete_Game_Development_Course.part1.rar
https://nitroflare.com/view/68FA231C1042B91/Unity_2D_With_C%23_-_Complete_Game_Development_Course.part2.rar
https://nitroflare.com/view/F4925953C12936D/Unity_2D_With_C%23_-_Complete_Game_Development_Course.part3.rar

**Ajkula** · 09-17-2023, 11:49 AM

Acca-F5-Performance Management-Detailed Live Class Recorded
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 66.36 GB | Duration: 120h 0m

Application of Management Accounting techniques to information for Planning, Performance evaluation, and Control

What you'll learn
MANAGEMENT ACCOUNTING AND PERFORMANCE MANAGEMENT FOR ACCA-F5
THE MOST EASY TECHNIQUES FOR VARIANCE ANALYSIS TO GET ASSURED MARKS
DECISION-MAKING TECHNIQUES
BUDGETING AND CONTROL
PERFORMANCE MEASUREMENT AND CONTROL

Requirements
Basic accounting knowledge

Description
The aim of the Performance Management is to develop knowledge and particularly skills in the application of Management Accounting techniques to quantitative and qualitative information for planning, decision making, performance evaluation, and control. Syllabus area AThe syllabus begins by focusing on the information needs, technologies and systems required by organisations to manage and measure performance in the modern, competitive environment. It is vital for an accountant to understand how information systems and developments in technology influence the management accounting techniques employed and how vital information systems are in the mechanisms of managing and controlling an organisation.Syllabus area BThe syllabus then moves on to introducing more specialised management accounting topics. There is some knowledge assumed from MA, primarily overhead treatments using absorption and marginal costing. The objective here is to ensure students have a broader background in management accounting techniques. Again, the emphasis is on the implications of the calculations, not just the calculations themselves.Syllabus area CThe syllabus then considers decision making. Students need to appreciate the problems surrounding scarce resources, pricing, and make-or-buy decisions, and how these problems relate to the assessment of performance. Risk and uncertainty are a factor of real-life decision making; students need to understand risk and must be able to apply some basic methods to help resolve the risks inherent in decision making.Students should never forget that management accounting provides information partly so that decisions can be made. This area of the syllabus is important and will be a rich source of future questions.Syllabus area DBudgeting is an important aspect of many accountants lives. The syllabus explores different budgeting techniques and the problems inherent in them. The behavioural aspects of budgeting are important for accountants to understand, and the syllabus includes consideration of the way individuals might react to a budget. Abuse of the budgeting environment is common and damages businesses more than is often realised. Candidates need to appreciate the problems inherent in budgeting and must be able to suggest how these problems can be overcome.Standard costing and variances are included in syllabus area D. All of the variances previously examined in MA are assumed knowledge here and, while these basic variances would not be expected to be the basis of a complete question in Section B or C, their inclusion in either part of a Section B or C question or as a Section A question would be reasonable.Syllabus area EThe syllabus concludes with performance measurement and control. This is the core of the syllabus. Accountants need to understand how a business should be managed and controlled. They should appreciate the importance of both financial and non-financial performance measures in management. Hence, the syllabus explicitly states that candidates may be required to analyse past performance and suggest ways for improving financial and non-financial performance , although this skill was assumed previously in PM anyway.The requirements of syllabus area E reflect that accountants should also appreciate the difficulty of assessing performance in a divisionalised business, and the problems caused by failing to consider external influences on performance. This section therefore leads very directly to Advanced Performance Management.

Overview
Section 1: ACCA-F5-Performance Management

Lecture 1 A revision of basic Management Accounting (MA) topics - Session 1

Lecture 2 A revision of basic Management Accounting (MA) topics - Session2

Lecture 3 Information, technologies and systems for organisational performance-Sess.1

Lecture 4 Information, technologies and systems for organisational performance-Sess.2

Lecture 5 Information systems and Data analytics - Session 1

Lecture 6 Information systems and Data analytics - Session 2

Lecture 7 Specialist cost and management accounting techniques - Session 1

Lecture 8 Specialist cost and management accounting techniques - Session 2

Lecture 9 Specialist cost and management accounting techniques - Session 3

Lecture 10 Specialist cost and management accounting techniques - Session 4

Lecture 11 Specialist cost and management accounting techniques - Session 5

Lecture 12 Cost volume profit analysis - Session 1

Lecture 13 Cost volume profit analysis - Session 2

Lecture 14 Planning with limiting factors

Lecture 15 Pricing - Session 1

Lecture 16 Pricing - Session 2

Lecture 17 Relevant costing - Session 1

Lecture 18 Relevant costing - Session 2

Lecture 19 Risk and uncertainty

Lecture 20 Budgeting - Session 1

Lecture 21 Budgeting - Session 2

Lecture 22 Budgeting - Session 3

Lecture 23 Budgeting - Session 4

Lecture 24 Quantitative analysis - Session 1

Lecture 25 Quantitative analysis - Session 2

Lecture 26 Quantitative analysis -Session 3

Lecture 27 Advanced variances - Session 1

Lecture 28 Advanced variances - Session 2

Lecture 29 Advanced variances - Session 3

Lecture 30 Advanced variances - Session 4

Lecture 31 Advanced variances - Session 5

Lecture 32 Advanced variances - Session 6

Lecture 33 Performance measurement and control - Session 1

Lecture 34 Performance measurement and control - Session 2

Lecture 35 Performance measurement and control - Session 3

Lecture 36 Performance measurement and control - Session 4

Lecture 37 Performance measurement and control - Session 5

Lecture 38 Divisional performance measurement and transfer pricing

Section 2: ACCA-F5-Performance Management - Question and Answers

Lecture 39 Objective Test Questions - Session 1

Lecture 40 Objective Test Questions - Session 2

Lecture 41 Objective Test Questions - Session 3

Lecture 42 Objective Test Questions - Session 4

Lecture 43 Objective Test Questions - Session 5

Lecture 44 Objective Test Questions - Session 6

Lecture 45 Objective Test Case Study Questions - Session 1

Lecture 46 Objective Test Case Study Questions - Session 2

Lecture 47 Objective Test Case Study Questions - Session 3

Lecture 48 Objective Test Case Study Questions - Session 4

Lecture 49 Objective Test Case Study Questions - Session 5

Lecture 50 Objective Test Case Study Questions - Session 6

ACCA- Applied Skills Level- up to F9, for Commerce graduates and plus two commerce students

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/acca-f5-performance-management-detailed-live-class-recorded/

Code:

https://nitroflare.com/view/818F16F18CBC7E2/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part01.rar
https://nitroflare.com/view/459BB2A7C8C1F5A/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part02.rar
https://nitroflare.com/view/77BA1726998E535/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part03.rar
https://nitroflare.com/view/E187D9C4BB62FAA/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part04.rar
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https://nitroflare.com/view/28639C9F572525B/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part14.rar

Code:

https://rapidgator.net/file/4cf7c138d764a3bfa87d8a1abf883867/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part01.rar.html
https://rapidgator.net/file/62e6c92057b60df4c4e4aad265988b78/ACCAF5Performance_ManagementDetailed_Live_class_Recorded.part02.rar.html
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**Ajkula** · 09-17-2023, 11:53 AM

The Architecture Academy
Andrew Price | Duration: 53:56 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 26,9 GB | Language: English

Created over 2 years, these are all the scenes from The Architecture Academy; a Blender training course that teaches you how to make a variety of architecture scenes. Almost every image here was a tutorial in the course.

Homepage

Code:

https://anonymz.com/?https://andrewprice.artstation.com/projects/vzZK3

Code:

https://nitroflare.com/view/A24DD12D8D8A693/Blender_Guru_-_The_Architecture_Academy.part1.rar
https://nitroflare.com/view/E68396CCC38BADE/Blender_Guru_-_The_Architecture_Academy.part2.rar
https://nitroflare.com/view/3F03275B76DEB2B/Blender_Guru_-_The_Architecture_Academy.part3.rar
https://nitroflare.com/view/CBF7A090D116991/Blender_Guru_-_The_Architecture_Academy.part4.rar
https://nitroflare.com/view/C553D5F48E9292B/Blender_Guru_-_The_Architecture_Academy.part5.rar
https://nitroflare.com/view/DB3C0637CF3B320/Blender_Guru_-_The_Architecture_Academy.part6.rar

Code:

https://rapidgator.net/file/2778271d25f17b60443da1e5475e9bed/Blender_Guru_-_The_Architecture_Academy.part1.rar.html
https://rapidgator.net/file/a1da6883eed4667f9e28ddf1e950cb42/Blender_Guru_-_The_Architecture_Academy.part2.rar.html
https://rapidgator.net/file/4c24ddb8eb4cc330f26ae31853a90e02/Blender_Guru_-_The_Architecture_Academy.part3.rar.html
https://rapidgator.net/file/50830e183f325b8aea4b03e7439ae2b3/Blender_Guru_-_The_Architecture_Academy.part4.rar.html
https://rapidgator.net/file/e59b6b9550f2f8a69521bffc4dfd67a6/Blender_Guru_-_The_Architecture_Academy.part5.rar.html
https://rapidgator.net/file/00b25568e6057949530104d447d73b1c/Blender_Guru_-_The_Architecture_Academy.part6.rar.html

**Ajkula** · 09-17-2023, 11:57 AM

Data Science And Machine Learning With Python And Tensorflow
Last updated 8/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 64.64 GB | Duration: 114h 33m

Create Apps using Machine learning and Data Science to Create Visual Diagrams and graphic bars with Python!

What you'll learn
Create apps with Python
Learn Java language fundamentals
Read finance data directly from Yahoo
Train and test a model and use it for future predictions
Customise our graphs with visuals, a title, labels, text and a legend
Understand basic 3D plotting
Build apps, learn PyCharm, Android Studio, Machine Learning, TensorFlow models, TensorBoard, and so much more in this epic artificial intelligence course

Requirements
Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and Matplotlib.
Otherwise, you can download and install Python 3.5.2 and Matplotlib for free online.
Topics involve intermediate math, so familiarity with university-level math is helpful.

Description
We at Mammoth Interactive value input from students like you. Feel free to leave us your feedback. Machine learning is a way for a program to analyze previous data (or past experiences) to make decisions or predict the future.This course was funded through a massively successful Kickstarter campaign.We use frameworks like TensorFlow that make it easy to build, train, test, and use machine learning models. TensorFlow makes machine learning so much more accessible to programmers everywhere.You can expect a complete and comprehensive course that guides you through the basics, then through some simple models. You will end up with a portfolio of apps driven by machine learning, as well as the know-how to create more and expand upon what we build together. Tools, tips, and tricks (with Android support, Python & Java)I start by teaching you the basics of the languages, programs, and underlying concepts of machine learning. You will become an expert ready to build your own machine learning-driven mobile apps, which are the future in mobile app development.Do you also want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output. We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.In Part 2, you take your Python knowledge and apply it to Matplotlib. We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!Why choose Mammoth Interactive?We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experience by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.Enroll now to join the Mammoth community!

Overview

Section 1: Intro to Android Studio

Lecture 1 Intro and Topics List

Lecture 2 Downloading and Installing Android Studio

Lecture 3 Exploring Interface

Lecture 4 Setting up an Emulator and Running Project

Lecture 5 Code

Section 2: Intro to Java

Lecture 6 Intro to Language Basics

Lecture 7 Variable Types

Lecture 8 Operations on Variables

Lecture 9 Array and Lists

Lecture 10 Array and List Operations

Lecture 11 If and Switch Statements

Lecture 12 While Loops

Lecture 13 For Loops

Lecture 14 Functions Intro

Lecture 15 Parameters and Return Values

Lecture 16 Classes and Objects Intro

Lecture 17 Superclass and Subclasses

Lecture 18 Static Variables and Axis Modifiers

Section 3: Intro to App Development

Lecture 19 Intro To Android App Development

Lecture 20 Building Basic UI

Lecture 21 Connecting UI to Backend

Lecture 22 Implementing Backend and Tidying UI

Section 4: Intro to ML Concepts

Lecture 23 Intro to ML

Lecture 24 Pycharm Files

Section 5: Introduction to PyCharm for Python

Lecture 25 Intro and Topics List

Lecture 26 Downloading and Installing Pycharm and Python

Lecture 27 Exploring the Pycharm Interface

Lecture 28 Support for Python Problems or Questions

Lecture 29 Learning Python with Mammoth Interactive

Section 6: Python Language Basics

Lecture 30 Intro to Variables

Lecture 31 Variables Operations and Conversions

Lecture 32 Collection Types

Lecture 33 Collections Operations

Lecture 34 Control Flow If Statements

Lecture 35 While and For Loops

Lecture 36 Functions

Lecture 37 Classes and Objects

Section 7: Intro to Tensorflow

Lecture 38 Intro

Lecture 39 Topics List

Lecture 40 Installing TensorFlow

Lecture 41 Importing Tensorflow to Pycharm

Lecture 42 Constant Nodes and Sessions

Lecture 43 Variable Nodes

Lecture 44 Placeholder Nodes

Lecture 45 Operation nodes

Lecture 46 Loss, Optimizers, and Training

Lecture 47 Building a Linear Regression Model

Lecture 48 Source Files

Section 8: Machine Learning in Android Studio Projects

Lecture 49 Coming Up - Machine Learning in Android Studio Projects

Section 9: Tensorflow Estimator

Lecture 50 Introduction

Lecture 51 Topics List

Lecture 52 Setting up Prebuilt Estimator Model

Lecture 53 Evaluating and Predicting with Prebuilt Model

Lecture 54 Building Custom Estimator Function

Lecture 55 Testing the Custom Estimator Function

Lecture 56 Summary and Model Comparison

Lecture 57 Source Files

Section 10: Intro to Android Machine Learning Model Import

Lecture 58 Intro and Demo

Lecture 59 Topics List

Lecture 60 Formatting and Saving the Model

Lecture 61 Saving the Optimized Graph File

Lecture 62 Starting Android Project

Lecture 63 Building the UI

Lecture 64 Implementing Inference Functionality

Lecture 65 Testing and Error Fixing

Lecture 66 Source Files

Section 11: Simple MNIST

Lecture 67 Intro and Demo

Lecture 68 Topics List and Intro to MNIST Data

Lecture 69 Building Computational Graph

Lecture 70 Training and Testing the Model

Lecture 71 Saving and Freezing the Graph for Android Import

Lecture 72 Setting up Android Studio Project

Lecture 73 Building the UI

Lecture 74 Loading Digit Images

Lecture 75 Formatting Image Data

Lecture 76 Making Prediction Using Model

Lecture 77 Displaying Results and Summary

Lecture 78 Simple MNIST - Mammoth Interactive

Section 12: MNIST with Estimator

Lecture 79 Introduction

Lecture 80 Topics List

Lecture 81 Building Custom Estimator Function

Lecture 82 Building Input Functions, Training, and Testing

Lecture 83 Predicting Using Our Model and Model Comparisons

Lecture 84 MNIST With Estimator - Mammoth Interactive

Section 13: Advanced MNIST

Lecture 85 Intro and Demo

Lecture 86 Topics List

Lecture 87 Building Neuron Functions

Lecture 88 Building the Convolutional Layers

Lecture 89 Building Dense, Dropout, and Readout Layers

Lecture 90 Writing Loss and Optimizer Functions and Training and Testing

Lecture 91 Optimizing Saved Graph

Lecture 92 Setting up Android Project

Lecture 93 Setting Up UI

Lecture 94 Load and Display Digit Images

Lecture 95 Formatting Model Input

Lecture 96 Displaying Results and Summary

Lecture 97 Source Files

Section 14: Intro to Tensorboard

Lecture 98 Introduction

Lecture 99 Examining Computational Graph In Tensorboard

Lecture 100 Analyzing Scalars and Histograms

Lecture 101 Modifying Model Parameters Across Multiple Runs

Lecture 102 Source Code

Section 15: Increase Efficiency of Machine Learning Models

Lecture 103 Coming Up - Building Efficient Models

Lecture 104 Intro to Tensorflow Lite

Lecture 105 Source Code

Section 16: Text Summarizer

Lecture 106 Introduction

Lecture 107 Exploring How Model Is Built

Lecture 108 Exploring Training and Summarizing Mechanisms

Lecture 109 Exploring Training and Summarizing Code

Lecture 110 Testing the Model

Lecture 111 Text Summarizer Pycharm Source Files

Section 17: Object Localization

Lecture 112 Introductions

Lecture 113 Examining Project Code

Lecture 114 Testing with a Mobile Device

Section 18: Object Recognition

Lecture 115 Introduction

Lecture 116 Examining Code

Lecture 117 Testing on Mobile Device

Section 19: Introduction to Python Programming

Lecture 118 Introduction to Python

Lecture 119 Variables

Lecture 120 Functions

Lecture 121 if Statements

Section 20: Lists

Lecture 122 Introduction to Lists

Section 21: Loops

Lecture 123 Introduction to and Examples of using Loops

Lecture 124 Getting familiar with while Loops

Lecture 125 Breaking and Continuing in Loops

Lecture 126 Making Shapes with Loops

Lecture 127 Nested Loops and Printing a Tic-Tac-Toe field

Section 22: Sets and Dictionaries

Lecture 128 Understanding Sets and Dictionaries

Lecture 129 An Example for an Invetory List

Section 23: Input and Output

Lecture 130 Introduction and Implementation of Input and Output

Lecture 131 Introduction to and Integrating File Input and Output

Lecture 132 An example for a Tic-Tac-Toe Game

Lecture 133 An example of a Tic-Tac-Toe Game (Cont'd)

Lecture 134 An Example writing Participant data to File

Lecture 135 An Example Reading Participant Data from File

Lecture 136 Doing some simple statistics with Participant data from File

Section 24: Classes

Lecture 137 A First Look at Classes

Lecture 138 Inheritance and Classes

Lecture 139 An Example of Classes using Pets

Lecture 140 An Example of Classes using Pets - Dogs

Lecture 141 An examples of Classes using Pets - Cats

Lecture 142 Taking The Pets Example further and adding humans

Section 25: Importing

Lecture 143 Introduction to Importing and the Random Library

Lecture 144 Another way of importing and using lists with random

Lecture 145 Using the Time Library

Lecture 146 Introduction to The Math Library

Lecture 147 Creating a User guessing Game with Random

Lecture 148 Making the Computer guess a random number

Section 26: Project Blackjack Game

Lecture 149 BlackJack Game Part 1 - Creating and Shuffling a Deck

Lecture 150 Blackjack Game Part 2 - Creating the player class

Lecture 151 Blackjack Game Part 3 - Expanding the Player Class

Lecture 152 Blackjack Game Part 4 - Implementing a bet and win

Lecture 153 Blackjack Game Part 5 - Implementing the player moves

Lecture 154 Blackjack Game Part 6 - Running the Game (Final)

Section 27: Error Handling

Lecture 155 Getting started with error handling

Section 28: Matplotlib Fundamentals

Lecture 156 Introduction to Matplotlib

Lecture 157 Setup and Installation

Lecture 158 Creating Our First Scatter Plot

Lecture 159 Line Plots

Section 29: Graph Customization

Lecture 160 Labels, Title, and a Legend

Lecture 161 Changing The Axis Ticks

Lecture 162 Adding text into our graphs

Lecture 163 Annotating our graph

Lecture 164 Changing Figure Size and Saving the Figure

Lecture 165 Changing the axis scales

Section 30: Advanced Plots

Lecture 166 Creating Histograms

Lecture 167 Building More Histograms

Lecture 168 Changing Histogram Types

Lecture 169 Bar Plots

Lecture 170 Stack Plots

Lecture 171 Pie Charts

Lecture 172 Box And Whisker Plots

Section 31: Finance Graphs

Lecture 173 Creating Figures and Subplots

Lecture 174 Getting and Parsing csv data for plotting

Lecture 175 Creating a Candlestick plot

Lecture 176 Setting Dates for our Candlestick Plot

Lecture 177 Reading data directly from Yahoo

Lecture 178 Customizing our OHLC graph

Section 32: Advanced Graph Customization

Lecture 179 Adding Grids

Lecture 180 Taking a Closer Look at Tick Labels

Lecture 181 Customising Grid Lines

Lecture 182 Live Graphs

Lecture 183 Styles and rcParameters

Lecture 184 Sharing an X axis between two plots

Lecture 185 Setting Axis Spines

Lecture 186 Creating Multiple Axes in Our Figure

Lecture 187 Creating Multiple Axes in Our Figure (cont'd)

Lecture 188 Plotting into the Multiple Axes

Lecture 189 Plotting into the Multiple Axes (cont'd)

Section 33: 3D Plotting

Lecture 190 Getting started with 3D plotting

Lecture 191 Surface Plots and Colormaps

Lecture 192 Wireframes and Contour Plots

Lecture 193 Stacks of Histograms and Text for 3D Plotting

Section 34: Sketch

Lecture 194 Course Intro and Sketch Tools

Lecture 195 Sketch Files - Sketch Tools

Lecture 196 Sketch Basics and Online Resources

Lecture 197 Plug-ins and Designing your First Mobile app

Lecture 198 Your First Mobile App Continued

Lecture 199 Sketch Files - Your First Mobile App

Lecture 200 Shortcuts and Extra tips

Lecture 201 Sketch Files - Shortcuts by Mammoth Interactive

Section 35: Learn to Code in HTML

Lecture 202 Intro to HTML

Lecture 203 Writing our first HTML

Lecture 204 Intro to Lists and Comments

Lecture 205 Nested Lists

Lecture 206 Loading Images

Lecture 207 Loading Images in Lists

Lecture 208 Links

Lecture 209 Images as Link

Lecture 210 Mailto Link

Lecture 211 Div Element

Section 36: Learn to Code in CSS

Lecture 212 Introduction

Lecture 213 Introducing the Box Model

Lecture 214 Writing our First CSS

Lecture 215 More CSS Examples

Lecture 216 Inheritance

Lecture 217 More on Type Selectors

Lecture 218 Getting Direct Descendents

Lecture 219 Class Intro

Lecture 220 Multiple Classes

Lecture 221 id Intro

Lecture 222 CSS Specificity

Lecture 223 Selecting Multiple Pseudo Classes and Sibling Matching

Lecture 224 Styling Recipe Page

Lecture 225 Loading External Stylesheet

Section 37: D3.js

Lecture 226 Introduction to Course and D3

Lecture 227 Source Code

Lecture 228 Handling Data and Your First Project

Lecture 229 Source code

Lecture 230 Continuing your First Project

Lecture 231 Understanding Scale

Lecture 232 Source Code

Lecture 233 Complex charts, Animations and Interactivity

Lecture 234 Source Code

Section 38: Flask

Lecture 235 Setting Up and Basic Flask

Lecture 236 Setting up Terminals on Windows 7 and Mac

Lecture 237 Terminal basic commands and symbols

Lecture 238 Source Code - Setting up Flask

Lecture 239 Source Code - Basic Flask HTML & CSS

Lecture 240 Basic Flask Database

Lecture 241 Source Code - Basic Flask Database

Lecture 242 Flask Session and Resources

Lecture 243 Source Code - Flask Session

Lecture 244 Flask Digital Ocean

Lecture 245 Flask Digital Ocean Continued

Section 39: Xcode Fundamentals

Lecture 246 Intro and Demo

Lecture 247 General Interface

Lecture 248 Files System

Lecture 249 ViewController

Lecture 250 Storyboard File

Lecture 251 Connecting Outlets and Actions

Lecture 252 Running an Application

Lecture 253 Debugging an Application

Lecture 254 Source Code and Art Assets

Section 40: Swift 4 Language Basics

Lecture 255 Language Basics Topics List

Section 41: Variable and Constants

Lecture 256 Learning Goals

Lecture 257 Intro to Variables and Constants

Lecture 258 Primitive types

Lecture 259 Strings

Lecture 260 Nil Values

Lecture 261 Tuples

Lecture 262 Type Conversions

Lecture 263 Assignment Operators

Lecture 264 Conditional Operators

Lecture 265 Variables and Constants Text.playground

Section 42: Collection Types

Lecture 266 Topics List and Learning Objectives

Lecture 267 Intro to Collection Types

Lecture 268 Creating Arrays

Lecture 269 Common Array Operations

Lecture 270 Multidimensional Arrays

Lecture 271 Ranges

Lecture 272 Collection Types Text.playground

Section 43: Control flow

Lecture 273 Topics List and Learning Objectives

Lecture 274 Intro to If and Else Statements

Lecture 275 Else If Statements

Lecture 276 Multiple Simultaneous Tests

Lecture 277 Intro To Switch Statements

Lecture 278 Advanced Switch Statement Techniques

Lecture 279 Testing for Nil Values

Lecture 280 Intro to While Loops

Lecture 281 Intro to for...in Loops

Lecture 282 Intro to For...In Loops (Cont'd)

Lecture 283 Complex Loops and Loop Control statements

Lecture 284 Control Flow Text.playground

Section 44: Functions

Lecture 285 Intro to Functions

Lecture 286 Function Parameters

Lecture 287 Return Statements

Lecture 288 Parameter Variations - Argument Labels

Lecture 289 Parameter Variations - Default Values

Lecture 290 Parameters Variations - InOut Parameters

Lecture 291 Parameter Variations - Variadic Parameters

Lecture 292 Returning Multiple Values Simultaneously

Lecture 293 Functions Text.playground

Section 45: Classes, Struct and Enums

Lecture 294 Topics List and Learning Objectives

Lecture 295 Intro to Classes

Lecture 296 Properties as fields - Add to Class Implementation

Lecture 297 Custom Getters and Setters

Lecture 298 Calculated Properties

Lecture 299 Variable Scope and Self

Lecture 300 Lazy and Static Variables

Lecture 301 Behaviour as Instance Methods and Class type Methods

Lecture 302 Behaviour and Instance Methods

Lecture 303 Class Type Methods

Lecture 304 Class Instances as Field Variables

Lecture 305 Inheritance, Subclassing and SuperClassing

Lecture 306 Overriding Initializers

Lecture 307 Overriding Properties

Lecture 308 Overriding Methods

Lecture 309 Structs Overview

Lecture 310 Enumerations

Lecture 311 Comparisons between Classes, Structs and Enums

Lecture 312 Classes, Structs, Enums Text.playground

Section 46: Practical MacOS BootCamps

Lecture 313 Introduction and UI Elements

Lecture 314 Calculator Setup and Tax Calculator

Lecture 315 Calculate Tax And Tip - Mammoth Interactive Source Code

Lecture 316 Tip Calculator and View Controller

Lecture 317 View Controller - Mammoth Interactive Source Code

Lecture 318 Constraints

Lecture 319 Constraints - Mammoth Interactive Source Code

Lecture 320 Constraints Code

Lecture 321 Refactor

Lecture 322 Refactor - Mammoth Interactive Source Code

Lecture 323 MacOsElements - Mammoth Interactive Source Code

Section 47: Data Mining With Python

Lecture 324 Data Wrangling and Section 1

Lecture 325 Project Files - Data Mining with Mammoth Interactive

Lecture 326 Project Files - Data Wrangling with Mammoth Interactive

Lecture 327 Data Mining Fundamentals

Lecture 328 Project Files - Data Mining fundamentals with Mammoth Interactive

Lecture 329 Framework Explained, Taming Big Bank with Data

Lecture 330 Project Files - Frameworks with Mammoth Interactive

Lecture 331 Mining and Storing Data

Lecture 332 Project Files - Mining and Storing with Mammoth Interactive

Lecture 333 NLP (Natural Language Processing)

Lecture 334 Project Files - NLP with Mammoth Interactive

Lecture 335 Summary Challenge

Lecture 336 Conclusion Files - Mammoth Interactive

Section 48: Introduction to Video Editing

Lecture 337 Introduction to the Course

Lecture 338 Installing Camtasia

Lecture 339 Exploring the Interface

Lecture 340 Camtasia Project Files

Section 49: Setting Up a Screen Recording

Lecture 341 Introduction and Tips for Recording

Lecture 342 Creating a Recording Account

Lecture 343 Full Screen vs Window Mode

Lecture 344 Setting the Recording Resolution

Lecture 345 Different Resolutions and their Uses

Lecture 346 Tips to Improve Recording Quality and Summary

Section 50: Camtasia Recording

Lecture 347 Introduction and Workflow

Lecture 348 Tools Options Menu

Lecture 349 Your First Recording

Lecture 350 Viewing your Test

Lecture 351 Challenge - VIDEO GAME NARRATION

Lecture 352 Mic Etiqutte

Lecture 353 Project - Recording Exercise

Lecture 354 Webcam, Telprompter, and Summary

Section 51: Camtasia Screen Layout

Lecture 355 Introduction and Tools Panel

Lecture 356 Canvas

Lecture 357 Zoom N Pan

Lecture 358 Annotations

Lecture 359 Yellow Snap Lines

Lecture 360 TimeLine Basics, Summary and Challenge

Section 52: Camtasia Editing

Lecture 361 Introduction and Importing Media

Lecture 362 Markers

Lecture 363 Split

Lecture 364 Working with Audio

Lecture 365 Clip Speed

Lecture 366 Locking and Disabling tracks

Lecture 367 Transitions

Lecture 368 Working with Images

Lecture 369 Voice Narration

Lecture 370 Noise Removal

Lecture 371 Smart Focus

Lecture 372 Summary and Challenge

Section 53: Advance Editing Introduction

Lecture 373 Advance Editing Introduction

Lecture 374 Zooming Multiple Tracks

Lecture 375 Easing

Lecture 376 Animations

Lecture 377 Behaviors

Lecture 378 Color Adjustment

Lecture 379 Clip Speed

Lecture 380 Remove a Color

Lecture 381 Device Frame

Lecture 382 Theme Manager

Lecture 383 Libraries

Lecture 384 Media and Summary

Section 54: Camtasia Resources and Tips

Lecture 385 Resources and Tips Introduction

Lecture 386 Masking

Lecture 387 Extending Frames

Lecture 388 Working with Video

Section 55: Exporting a Project for Youtube

Lecture 389 Exporting a Project for Youtube

Section 56: Code with C#

Lecture 390 Introduction to Course and Types

Lecture 391 Operator, Classes , and Additional Types

Lecture 392 Statements & Loops

Lecture 393 Arrays, Lists, and Strings

Lecture 394 Files, Directories, and Debugs

Lecture 395 Source code

Section 57: Learn to Code with R

Lecture 396 Intro to R

Lecture 397 Control Flow and Core Concepts

Lecture 398 Matrices, Dataframes, Lists and Data Manipulation

Lecture 399 GGplot and Intro to Machine learning

Lecture 400 Conclusion

Lecture 401 Source Code

Section 58: Advanced R

Lecture 402 Course Overview and Data Setup

Lecture 403 Source Code - Setting Up Data - Mammoth Interactive

Lecture 404 Functions in R

Lecture 405 Source Code - Functions - Mammoth Interactive

Lecture 406 Regression Model

Lecture 407 Source Code - Regression Models - Mammoth Interactive

Lecture 408 Regression Models Continued and Classification Models

Lecture 409 Source Code - Classification Models - Mammoth Interactive

Lecture 410 Classification Models Continued, RMark Down and Excel

Lecture 411 Source Code - RMarkDown And Excel - Mammoth Interactive

Lecture 412 Datasets - Mammoth Interactive

Section 59: Learn to Code with Java

Lecture 413 Introduction and setting up Android Studio

Lecture 414 Introduction - Encryption Source Code

Lecture 415 Setting up Continued

Lecture 416 Java Programming Fundamentals

Lecture 417 Source Code - Java Programming Fundamentals

Lecture 418 Additional Java fundamentals

Lecture 419 Source Code - Additional fundamentals

Lecture 420 Classes

Lecture 421 Source Code - Classes

Lecture 422 Please rate this course

Lecture 423 Bonus Course

People who want to learn machine learning concepts through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow,Absolute beginners who want to learn to code for the web in the popular Python programming language and use data science to make graphs.,Anyone who wants to learn the technology that is shaping how we interact with the world around us,Anyone who wants to use data for prediction, recognition, and classification,Experienced programmers who want to learn a 2D plotting library for Python.

Code:

https://anonymz.com/?https://www.udemy.com/course/data-science-and-machine-learning-with-python-and-tensorflow/

Code:

https://rapidgator.net/file/1ef39478501b00424dc2334e54ad3ec2/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part01.rar
https://rapidgator.net/file/101cb6be141e2a9fd0440f58997362ff/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part02.rar
https://rapidgator.net/file/0ffdf35d5d00a6b588e5d66199fac6ab/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part03.rar
https://rapidgator.net/file/0390ea7b8d55268faf380a829bbe5077/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part04.rar
https://rapidgator.net/file/52683707bb0b03d2db490b50fd7484da/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part05.rar
https://rapidgator.net/file/947f76379706eb258222266e12524428/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part06.rar
https://rapidgator.net/file/c7c5cb761b23b228bd79251f320823c9/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part07.rar
https://rapidgator.net/file/76843dcd8d1b3c6fe45eb82b6e337f17/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part08.rar
https://rapidgator.net/file/8c9111310a2a68270bd02109e4825f50/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part09.rar
https://rapidgator.net/file/ab3e656692dc79878e24cbe143fd790e/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part10.rar
https://rapidgator.net/file/1f0c343f482f4fbcba2abb2a88f1b20d/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part11.rar
https://rapidgator.net/file/a5a59000be84c9500e415e82d17b83d6/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part12.rar
https://rapidgator.net/file/45075903bdd150948a914c12d1c15b06/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part13.rar

Code:

https://nitroflare.com/view/D1C234C29A66167/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part01.rar
https://nitroflare.com/view/905F2292BA69BFE/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part02.rar
https://nitroflare.com/view/54C2F053FFB6769/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part03.rar
https://nitroflare.com/view/ABC34ED865D032E/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part04.rar
https://nitroflare.com/view/6494079B5EA4902/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part05.rar
https://nitroflare.com/view/104A74373D1B782/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part06.rar
https://nitroflare.com/view/55674F5F1C7653E/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part07.rar
https://nitroflare.com/view/D6470070040916A/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part08.rar
https://nitroflare.com/view/C4C95A328FB4E45/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part09.rar
https://nitroflare.com/view/E30AF8F3B637F26/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part10.rar
https://nitroflare.com/view/7AB3472BBBB78E5/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part11.rar
https://nitroflare.com/view/C50AFF1BFC78398/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part12.rar
https://nitroflare.com/view/ACD7AC88306204A/Data_Science_and_Machine_Learning_with_Python_and_Tensorflow.part13.rar

**Ajkula** · 09-17-2023, 12:00 PM

Build 20+ projects including smart contracts and decentralized applications for the NEAR blockchain

What you'll learn
Simple Hello World Greeting AssemblyScript smart contract
NEAR AssemblyScript Marketplace Smart Contract Development (1.25 new hours)
Marketplace Dapp Development with AssemblyScript for NEAR Blockchain (15 h total)
TypeScript Smart Contract and Dapp Development for NEAR Blockchain (1 h new)
Rust Smart Contract Development for NEAR Blockchain (1 new h, 2h total)
Build a Fundraising Rust Smart Contract with NEAR CLI and Cargo (1h new, 3h total)
Mint NFTs With Pre-Deployed NEAR Contract
Build a cryptocurrency token NEAR contract with TypeScript
Build counter TypeScript smart contract for NEAR blockchain
Build NFT Minting Dapp with JavaScript for NEAR Blockchain
Build a chat dapp with React JS for NEAR
Build a question and answer thread React dapp with NEAR smart contract
Build a social media sharing dapp with TypeScript and React JS
Build automated tests for NEAR smart contracts with Ava JS
Build a NEAR counter smart contract in Rust
Build a NEAR chat smart contract in Rust
Build a fungible token smart contract in Rust for NEAR
Build NFT smart contract in Rust
Build a question and answer discussion Rust smart contract for NEAR Blockchain
Build automated tests for Rust smart contracts on NEAR

Requirements
No experience required
No cryptocurrency required
No paid software required
Code editor (free)

Description
What is the NEAR blockchain?

built to be simple, secure and scalable.

Low cost. High speed. Effortless scale.

<0.01USD Transaction Cost

18M+ Active Accounts

400K Daily Transactions

~2.4s Time to Finality

Contracts, DAOs, dapps, funding

Layer 1 blockchain

not dependent on other chains.

uses a unique scaling mechanism

Nightshade sharding

Scales infinitely

resists short-term usage spikes

Proof of stake

More efficient than Bitcoin and Ethereum

web-based wallet

no need for users to install programs or browser extensions

makes it especially easy to onboard new users (e.g. through named accounts)

Certified carbon neutral

consumes in a year the same energy bitcoin consumes in 3 minutes

Interoperable with Ethereum

using Rainbow Bridge

Your Instructor

Alexandra Kropova is a software developer with extensive experience in smart contract and decentralized app development. She has helped produce courses for Mammoth Interactive since 2016, including many blockchain and Web3 courses.

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard s edX, Business Insider and more.

Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.

Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you.

Join 1.3+ million students in high-quality courses featured at Harvard

Lifetime access that never expires

Project-based curriculum to superboost your portfolio

Graduation certificate for every course

Absolute beginner-friendly

90% off today

Use any computer

Satisfaction guarantee

Get all source code

Popular bundle by Mammoth students

Perfected over years of training

Reviews from the Mammoth Community

"This is AMAZING I just learned how to code without breaking a sweat, this is really easy and fun!" -Shalonda Lewis

"This course so far is by far amazing! The instructor is very encouraging and up beat." -Moiz Saqib

"It was informative and definitely covered the basics. Easy to understand and to follow." -Colin Mooney

Who this course is for
Anyone interested in building smart contracts for the NEAR blockchain
Anyone who wants to learn to code

Code:

https://anonymz.com/?https://www.udemy.com/course/the-complete-near-blockchain-smart-contract-dapp-course/

Code:

https://rapidgator.net/file/d39a9f4667a8f5a7e3ec8778dad4f31b/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part1.rar
https://rapidgator.net/file/5397ebe011441fc3258fb4b87d83289b/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part2.rar
https://rapidgator.net/file/02be65990ed80e7c8e548d36a2309455/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part3.rar
https://rapidgator.net/file/557e005d8b4fd7cf37f2047ed6daa22a/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part4.rar
https://rapidgator.net/file/2e63f88cf648c003f660ccf9cb597452/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part5.rar

Code:

https://nitroflare.com/view/997A75E0400CADE/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part1.rar
https://nitroflare.com/view/94D2088895F2C7E/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part2.rar
https://nitroflare.com/view/DB1E2E4617648F4/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part3.rar
https://nitroflare.com/view/FB99D8C539C6BC5/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part4.rar
https://nitroflare.com/view/822A5748FFE2BB6/The_Complete_NEAR_Blockchain_Smart_Contract___Dapp_Course.part5.rar

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