Become a truly professional trader
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Become a truly professional trader
Last Updated 05/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 26 lectures (14h 47m) | Size: 8.3 GB
One of the best professional trading course out there. Get all what you need to be profitable and getting a daily profit
What you'll learn
You will learn a new approach to trading that will allow you to generate steady profits every month.
You will learn a multiday strategy, perfect for those who cannot stay on charts all day, which will allow you to constantly feed your capital without stress
You will learn to trade with an exclusive intraday strategy, which gives amazing results to those who love an aggressive trading style
Requirements
You have to know what SPREAD is
A basic knowledge of Leverage concept
What "Sell" and "Buy" actaully really means and how to open a trade in your platform
Stop Loss and Take Profit concepts
Description
All my 15 years of trading experience in just one course. With this professional trading course, you will discover a new approach to investing. You will learn a tested, serious, and disciplined method to guarantee yourself a profit. Every day.
I will teach you how to really find a very good opportunity every day, set your own money management plan, where to place your entry, your Stop Loss, and Take Profit. You will learn how to avoid fake signals and how not to be psychologically weak!
If you want to earn, join this course and You would be catapulted into a new approach to trading. We talk about technical analysis in a different way, I will give you completely new concepts, many examples, 3 strategies but above all, I will follow you step by step with a dedicated channel and with new videos every day on all the possible operations and on why to do them or not to do them.
I want to underline the importance of having to (because it is a must) return your trust for me. Like? Making you earn. Maybe not right away, maybe you won't be able to buy a Ferrari next month (as many trading gurus promise) but you can assure yourself that together you will be able, if you want, to become independent and make trading a job. And I say this with enormous certainty for a very simple reason. Because I do it. I live by trading. And I didn't start with hundreds of thousands of dollars, I don't have any particular software, I don't know any data or techniques that only the institutions know and I don't have extraordinary mental skills. Indeed, I am a mere mortal who has already made a lot of mistakes, repeatedly and who has paid for the common mistakes that a novice trader makes. And that he has been studying, day and night, for many years. And I'm still doing it because you never stop learning.
So if with a bit of sacrifice, I did it as I am nobody, I don't see why you shouldn't do it too.
My goal is not to give you signals but to make you a profitable trader over time. My goal is that you no longer need me and anyone else to make money on the markets.
Who this course is for
Anyone who wants to make trading their main job
Who wants to supplement their salary
Those who do not have, or do not want to invest, a large capital from the beginning
Code:
https://anonymz.com/?https://www.udemy.com/course/become-a-truly-professional-trader/
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Code:
https://rapidgator.net/file/88ed372336e602125877fdd2dc8d6094/Become_a_truly_professional_trader.part1.rar
https://rapidgator.net/file/cd1e49b74f6c2fdb492f55ce1a6e04c5/Become_a_truly_professional_trader.part2.rar
https://rapidgator.net/file/955c44c0f9faf676688b538857f68229/Become_a_truly_professional_trader.part3.rar
https://rapidgator.net/file/0bdf5a77995420f7bbe2afe832b36837/Become_a_truly_professional_trader.part4.rar
https://rapidgator.net/file/4b40fbde2253f9e96709711cd0b99643/Become_a_truly_professional_trader.part5.rar
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https://ddownload.com/p8dtol8mxl34/Become_a_truly_professional_trader.part1.rar
https://ddownload.com/sdjjzkxzrenc/Become_a_truly_professional_trader.part2.rar
https://ddownload.com/jdm7gjl863vk/Become_a_truly_professional_trader.part3.rar
https://ddownload.com/6fv4201f5cno/Become_a_truly_professional_trader.part4.rar
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The Ultimate Coding Bootcamp: Make Your First Websites Today
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The Ultimate Coding Bootcamp: Make Your First Websites Today
Last updated 4/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.93 GB | Duration: 8h 6m
Includes FREE book! Hands-on practical examples in web development for beginners. You will become a fast & smart coder!
What you'll learn
3 projects to put in your web design portfolio
Real-world skills to build real-world websites
Get our eBook "1 Hour HTML" for free
A master toolset of the fundamentals of coding
Knowledge on the history of computers and computer science
Learn how to market yourself, network, and make connections as a freelance programmer
Get tips from a real entrepreneur
Requirements
No experience necessary!
A modern web browser
This course was recorded on a Mac, but you can use a PC.
Description
"This is a great experience so far. I'm transitioning careers from large engine diesel mechanic, to coding. Very helpful so far" - Jared C.What if I told you you could learn to code in HTML, CSS & JavaScript just one day? It's true! This course is compact and teaches you every single essential topic you need to know to become a coder. By the end of this course you can say that you have made your first website and landing page.This course was funded by a wildly successful KickstarterWith our training model, learning to program is straightforward. You will become a fast and smart coder with this course!Feeling stuck in life? Maybe you're working three jobs to make ends meet. I'm sure you've heard how much developers make these days . Want to get in on that action? Coding is not as hard as you think. First you will learn the fundamentals of coding and computers. Then we will teach you the foundations of web development. You will learn HTML, CSS, & JavaScript -- these are the 3 key languages of the web. Together we will build from scratch a customization landing page and modular website. As a bonus, you'll learn how to bootstrap a site. You will also learn how you can enter the industry. You'll know how to code and sell.Coding is an awesome way to train your brain while gaining marketable skills. Don't get left behind as coding becomes a job requirement. Get insight into how the technology you use every day works. Learn to think in a new way. Make money from home by making your own websites and web apps. No matter your industry, having technical skills makes you stand out. Computing literacy is a necessary skill. Technical roles need diversity, and with our courses, anyone can learn. This is real coding for all ages.We design our tutorials for people with NO EXPERIENCE. In a Mammoth Interactive curriculum, you get as much useful information as possible from every minute. No longer do you need to spend time putting together knowledge from YouTube videos. We've curated what you need to know.What's great about online learning is that you can learn at your own pace. You can speed up or slow down videos. Coding boot camps don't work for everyone. Why spend money when you can make money? Save thousands of dollars, and make thousands of your own. Learning at Mammoth Interactive can be your next step to improving your career and your life.We at Mammoth Interactive have been producing online tutorials since 2011. We know what self-directed learners need. Over 300'000 students have enrolled in our courses. And they love it. Our instructors make video tutorials that are practical and to the point. At the end of this course, you will have projects that you made and can show off in your portfolio. Start your epic journey here, with Mammoth Interactive!
Overview
Lecture 1 Course Trailer
Section 1: Introduction to Coding
Lecture 2 Learn about Different Coding Languages
Lecture 3 The History of Programming
Lecture 4 What is Web Development?
Section 2: Learn to Code in HTML
Lecture 5 HTML Introduction
Lecture 6 JS Bin - Collaborative JavaScript Debugging
Lecture 7 Writing our First HTML
Lecture 8 Lists and Comments
Lecture 9 Nested Lists
Lecture 10 Loading Images
Lecture 11 Loading Images in Lists
Lecture 12 Links
Lecture 13 Images as Links
Lecture 14 Mailto Link
Lecture 15 Div Element
Section 3: Learn to Code in CSS
Lecture 16 CSS Introduction
Lecture 17 Box Model
Lecture 18 Writing our First CSS
Lecture 19 More CSS Examples
Lecture 20 Inheritance
Lecture 21 More on Type Selectors
Lecture 22 Getting Direct Descendants
Lecture 23 Introduction to Classes
Lecture 24 Multiple Classes
Lecture 25 Introduction to ID
Lecture 26 CSS Specificity
Lecture 27 Pseudo Classes & Sibling Matching
Lecture 28 Styling Recipe Page
Lecture 29 Loading External Stylesheet
Section 4: Learn to Code in Javascript
Lecture 30 What is ES6?
Lecture 31 Functionality of ES6
Lecture 32 Testing your Code
Lecture 33 Tips to Getting Started with Javascript
Lecture 34 Common Pitfalls
Lecture 35 Source Code
Lecture 36 Numbers and Strings
Lecture 37 Booleans
Lecture 38 Booleans Continued!
Lecture 39 Objects
Lecture 40 Objects Continued!
Lecture 41 Arrays
Lecture 42 Arrays Continued!
Section 5: Make Your First Landing Page
Lecture 43 Introduction to the Landing Page
Lecture 44 Building the Page
Lecture 45 Adding CSS
Lecture 46 Final Touches
Section 6: Code a Modular Website
Lecture 47 Writing the HTML
Lecture 48 More HTML
Lecture 49 Completing HTML
Lecture 50 Writing CSS
Lecture 51 More CSS
Lecture 52 Completing CSS
Lecture 53 Project Final Touches
Section 7: Build a Bootstrap Website
Lecture 54 Build a Bootstrap Website
Section 8: Expand Your Horizons
Lecture 55 How to Market Yourself
Lecture 56 Start Networking and Making Connections
Lecture 57 Learn to Expand Your Horizons
Section 9: Free Stuff for Students!
Lecture 58 (Normally $34.74) JavaScript eBook
Lecture 59 Please rate this course
Lecture 60 Bonus Lecture: Community Newsletter
Anyone who wants to learn to code,Coders who want to become freelancers,Any programmer who wants to get a complete grasp of core coding concepts,Anyone who needs to build a website or landing page for their business, product, or fun!
Code:
https://anonymz.com/?https://www.udemy.com/course/codingbootcamp/
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Code:
https://rapidgator.net/file/7cf982fc4b8f843d87624b73dbbb89e4/The_Ultimate_Coding_Bootcamp_Make_Your_First_Websites_Today.part1.rar
https://rapidgator.net/file/26808a40c2b2f69b776a72a4b84509c3/The_Ultimate_Coding_Bootcamp_Make_Your_First_Websites_Today.part2.rar
https://rapidgator.net/file/388443d7addd93ebbe73c04774bb9acb/The_Ultimate_Coding_Bootcamp_Make_Your_First_Websites_Today.part3.rar
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https://ddownload.com/4mv0uqxd1tk0/The_Ultimate_Coding_Bootcamp_Make_Your_First_Websites_Today.part2.rar
https://ddownload.com/pfgnvnj6nl0q/The_Ultimate_Coding_Bootcamp_Make_Your_First_Websites_Today.part3.rar
ITProTV - Microsoft Power BI Skills
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ITProTV - Microsoft Power BI Skills
Released 25/08/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lessons (6h) | Size: 5.7 GB
Want to learn more about how to use Power BI and the most important skills you need to
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want. Want to learn more about how to use Power BI and the most important skills you need to be successful? Join Adam as he guides you through everything you want to know about Power BI.
Code:
https://anonymz.com/?https://www.itpro.tv/courses/microsoft/power-bi-skills/
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Code:
https://rapidgator.net/file/c7a6a194af5fb3f474da4d418e2af211/Microsoft_Power_BI_Skills.part1.rar
https://rapidgator.net/file/b95ee112cc4c57683459cc1e9d38f516/Microsoft_Power_BI_Skills.part2.rar
https://rapidgator.net/file/8c889c5cfa29c09f1130e1afc753a54d/Microsoft_Power_BI_Skills.part3.rar
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https://ddownload.com/w3i3tvmm0xh4/Microsoft_Power_BI_Skills.part1.rar
https://ddownload.com/bwefi8czeh7m/Microsoft_Power_BI_Skills.part2.rar
https://ddownload.com/8yzz0mdzu9h0/Microsoft_Power_BI_Skills.part3.rar
Photo Editing With Gimp And Darktable
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Photo Editing With Gimp And Darktable
Last updated 1/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.06 GB | Duration: 9h 39m
Photo editing with two amazing open source softwares Gimp and Darktable
What you'll learn
Manage dashboard of Gimp
Adjust windows for photo editing
Use layers
Use masks
Create selections
Create montage
Crop photos
Master tools for photo editing
Read photo histogram
Master photo adjustments
Apply filters
Edit face
Edit landscape photos
Manage dashboard of Darktable
Import photos
Add informations on photos
Use filters
Apply styles
Define favorite modules
Master main modules
Use drawn mask
Use parametric mask
Use drawn and parametric mask
Add effects
Improve portrait photo
Improve landscape photo
Requirements
You need to have Gimp
You need to have Darktable
Description
GimpGimp is an open source software that offers enormous graphical possibilities. By knowing how to master the techniques and tools, you will be able to do any type of photo editing and photo montage. Many tools and techniques will be seen in the training, and the emphasis is mainly on photo editing. It is thus possible to make selections, make adjustments, use layers and masks to optimize renderings.DarktableDarktable is open source photo editing software. It allows processing of Raw files, ie a non destructive raw data format. The changes are saved against the original file which is kept at all times and thus allows for advanced processing. It is great because you can edit your photo in real time. The software thus has two main modes, lighttable mode for importing and classifying photos, and darkroom mode for editing photos.The complementarity They are two very complementary self-service software. Like Photoshop and Lightroom do, you will be able to use Gimp and Darktable. Gimp will allow you to edit and use the layer system. It will also allow you to make adjustments and use the masks. On the other hand, it will not allow you to classify photos or process files in real time. So this is where Darktable software comes in. Darktable will allow you to import photos, classify them, and then make changes in real time thanks to the many modules.Training videoIn this course, you will learn how to use Gimp for photo editing. The basics of using layers, masks, adjustments or even retouching tools will be covered in this course, supplemented by workshops. You will also learn how to use Darktable, to import and organize your photos, and then process all your photos with the modules. The whole will also be supplemented by workshops.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Start with Gimp
Lecture 2 Manage dashboard
Lecture 3 Display the windows
Lecture 4 Create new document
Lecture 5 Save and export document
Lecture 6 Navigation on photo
Section 3: Layers
Lecture 7 Layers
Lecture 8 Layer mask
Lecture 9 Blend mode
Section 4: Crop photo
Lecture 10 Crop photo
Section 5: Create selections on images
Lecture 11 Basic selections
Lecture 12 Advanced selections
Lecture 13 Recuperate selection
Section 6: Defaults correction
Lecture 14 Remove defaults
Lecture 15 Clone elements
Section 7: Tools for photo editing
Lecture 16 Brush parameters
Lecture 17 Lighten and darken
Lecture 18 Add blur and details
Lecture 19 Spread color
Lecture 20 Add color and gradient
Section 8: Photo adjustments
Lecture 21 Read histogram
Lecture 22 Start with adjustments
Lecture 23 Adjustment color balance
Lecture 24 Adjustment color temperature
Lecture 25 Adjustment hue chroma
Lecture 26 Adjustment hue saturation
Lecture 27 Adjustment saturation
Lecture 28 Adjustment exposure
Lecture 29 Adjustment shadows highlights
Lecture 30 Adjustment brightness contrast
Lecture 31 Adjustment levels
Lecture 32 Adjustment curves
Lecture 33 Adjustment invert
Lecture 34 Adjustment threshold
Lecture 35 Adjustment colorize
Lecture 36 Adjustment posterize
Lecture 37 Adjustments on selections
Lecture 38 Change photo in black and white
Section 9: Add filters
Lecture 39 Add blur
Lecture 40 Increase details
Lecture 41 Add effects
Lecture 42 Create frame
Lecture 43 Red eye removal
Section 10: Trainings
Lecture 44 Change eyes color
Lecture 45 Smooth skin
Lecture 46 Selective black and white example
Lecture 47 Edit face part 1
Lecture 48 Edit face part 2
Lecture 49 Improve landscape photo part 1
Lecture 50 Improve landscape photo part 2
Section 11: Start with Darktable
Lecture 51 Start with dashboard
Lecture 52 Lighttable mode
Lecture 53 Import photos
Lecture 54 Grid and selections
Section 12: Add informations on photos
Lecture 55 Add informations
Lecture 56 Apply filters
Lecture 57 Styles
Section 13: Start with darkroom
Lecture 58 Darkroom mode
Lecture 59 Edit modules
Section 14: Basic modules
Lecture 60 Module sharpen
Lecture 61 Module levels
Lecture 62 Module contrast brightness saturation
Lecture 63 Module color zones
Lecture 64 Module shadows and highlights
Lecture 65 Module white balance
Lecture 66 Module basic adjustments
Lecture 67 Module base curve
Lecture 68 Module exposure
Lecture 69 Module color balance
Section 15: Modules parameters
Lecture 70 Color picker
Lecture 71 Snapshots
Lecture 72 Duplicate manager
Section 16: Other modules
Lecture 73 Add effects
Lecture 74 Crop photo
Section 17: Photo in black and white
Lecture 75 Photo black and white
Lecture 76 Selective black and white
Section 18: Apply masks
Lecture 77 Drawn mask
Lecture 78 Drawn and parametric mask
Lecture 79 Parametric mask
Lecture 80 Apply multiple masks
Section 19: Trainings
Lecture 81 Process eyes color
Lecture 82 Process smooth skin
Lecture 83 Make up face part 1
Lecture 84 Make up face part 2
Lecture 85 Improve landscape photo 1
Lecture 86 Improve landscape photo 2
Lecture 87 Improve landscape photo 3
Lecture 88 Improve landscape photo 4
Students,People who want to work with Gimp,People who want to work with Darktable,People who want to improve photos
Code:
https://anonymz.com/?https://www.udemy.com/course/creative-work-and-training-with-gimp/
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Code:
https://rapidgator.net/file/1315145807163423c50bef1ca32f7657/Photo_editing_with_Gimp_and_Darktable.part1.rar
https://rapidgator.net/file/58a00d63e29f826a325b3b0473689665/Photo_editing_with_Gimp_and_Darktable.part2.rar
https://rapidgator.net/file/f05d59b31a477b1ed2a4c39b02b4a34f/Photo_editing_with_Gimp_and_Darktable.part3.rar
https://rapidgator.net/file/9512f87bd08c024da4959d8fd60f3b67/Photo_editing_with_Gimp_and_Darktable.part4.rar
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https://ddownload.com/i7zrfn0bfjna/Photo_editing_with_Gimp_and_Darktable.part1.rar
https://ddownload.com/zo6ee5m0if7k/Photo_editing_with_Gimp_and_Darktable.part2.rar
https://ddownload.com/57cka18ia2hq/Photo_editing_with_Gimp_and_Darktable.part3.rar
https://ddownload.com/7ytnshh1cr3v/Photo_editing_with_Gimp_and_Darktable.part4.rar
Practical Guide To Setup Hadoop And Spark Cluster Using Cdh
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Practical Guide To Setup Hadoop And Spark Cluster Using Cdh
Last updated 6/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.02 GB | Duration: 20h 56m
Step by step instructions to setup Hadoop and Spark Cluster using Cloudera Distribution of Hadoop (Formerly CCA 131)
What you'll learn
Learn Hadoop and Spark Administration using CDH
Provision Cluster from GCP (Google Cloud Platform) to setup Hadoop and Spark Cluster using CDH
Setup Ansible for server automation to setup pre-requisites to setup Hadoop and Spark Cluster using CDH
Setup 8 node cluster from scratch using CDH
Understand Architecture of HDFS, YARN, Spark, Hive, Hue and many more
Requirements
Basic Linux Skills
A 64 bit computer with minimum of 4 GB RAM
Operating System - Windows 10 or Mac or Linux Flavor
Description
Cloudera is one of the leading vendor for distributions related to Hadoop and Spark. As part of this Practical Guide, you will learn step by step process of setting up Hadoop and Spark Cluster using CDH.Install - Demonstrate an understanding of the installation process for Cloudera Manager, CDH, and the ecosystem projects.Set up a local CDH repositoryPerform OS-level configuration for Hadoop installationInstall Cloudera Manager server and agentsInstall CDH using Cloudera ManagerAdd a new node to an existing clusterAdd a service using Cloudera ManagerConfigure - Perform basic and advanced configuration needed to effectively administer a Hadoop clusterConfigure a service using Cloudera ManagerCreate an HDFS user's home directoryConfigure NameNode HAConfigure ResourceManager HAConfigure proxy for Hiveserver2/ImpalaManage - Maintain and modify the cluster to support day-to-day operations in the enterpriseRebalance the clusterSet up alerting for excessive disk fillDefine and install a rack topology scriptInstall new type of I/O compression library in clusterRevise YARN resource assignment based on user feedbackCommission/decommission a nodeSecure - Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practicesConfigure HDFS ACLsInstall and configure SentryConfigure Hue user authorization and authenticationEnable/configure log and query redactionCreate encrypted zones in HDFSTest - Benchmark the cluster operational metrics, test system configuration for operation and efficiencyExecute file system commands via HTTPFSEfficiently copy data within a cluster/between clustersCreate/restore a snapshot of an HDFS directoryGet/set ACLs for a file or directory structureBenchmark the cluster (I/O, CPU, network)Troubleshoot - Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenariosResolve errors/warnings in Cloudera ManagerResolve performance problems/errors in cluster operationDetermine reason for application failureConfigure the Fair Scheduler to resolve application delaysOur ApproachYou will start with creating Cloudera QuickStart VM (in case you have laptop with 16 GB RAM with Quad Core). This will facilitate you to get comfortable with Cloudera Manager.You will be able to sign up for GCP and avail credit up to $300 while offer lasts. Credits are valid up to year.You will then understand brief overview about GCP and provision 7 to 8 Virtual Machines using templates. You will also attaching external hard drive to configure for HDFS later.Once servers are provisioned, you will go ahead and set up Ansible for Server Automation.You will take care of local repository for Cloudera Manager and Cloudera Distribution of Hadoop using Packages.You will then setup Cloudera Manager with custom database and then Cloudera Distribution of Hadoop using Wizard that comes as part of Cloudera Manager.As part of setting up of Cloudera Distribution of Hadoop you will setup HDFS, learn HDFS Commands, Setup YARN, Configure HDFS and YARN High Availability, Understand about Schedulers, Setup Spark, Transition to Parcels, Setup Hive and Impala, Setup HBase and Kafka etc.
Overview
Section 1: Introduction - CCA 131 Cloudera Certified Hadoop and Spark Administrator
Lecture 1 Introduction to the course
Lecture 2 CCA 131 - Administrator - Official Page
Lecture 3 Understanding required skills for the certification
Lecture 4 Understanding the environment provided while taking the exam
Lecture 5 Signing up for the exam
Section 2: Getting Started - Provision instances from Google Cloud
Lecture 6 Introduction
Lecture 7 Setup Ubuntu using Windows Subsystem
Lecture 8 Sign up for GCP
Lecture 9 Create template for Big Data Server
Lecture 10 Provision Servers for Big Data Cluster
Lecture 11 Review Concepts
Lecture 12 Setting up gcloud
Lecture 13 Setup ansible on first server
Lecture 14 Format JBOD
Lecture 15 Cluster Topology
Section 3: Getting Started - Setup local yum repository server - CDH
Lecture 16 Introduction
Lecture 17 Overview of yum
Lecture 18 Setuphttpd service
Lecture 19 Setup local yum repository - Cloudera Manager
Lecture 20 Setup local yum repository - Cloudera Distribution of Hadoop (CDH)
Lecture 21 Copy repo files
Section 4: Install CM and CDH - Setup CM, Install CDH and Setup Cloudera Management Service
Lecture 22 Introduction
Lecture 23 Setup Pre-requisites
Lecture 24 Install Cloudera Manager
Lecture 25 Licensing and Installation Options
Lecture 26 Install CM and CDH on all nodes
Lecture 27 CM Agents and CM Server
Lecture 28 Setup Cloudera Management Service
Lecture 29 Cloudera Management Service - Components
Section 5: Install CM and CDH - Configure Zookeeper
Lecture 30 Introduction
Lecture 31 Learning Process
Lecture 32 Setup Zookeeper
Lecture 33 Review important properties
Lecture 34 Zookeeper Concepts
Lecture 35 Important Zookeeper Commands
Section 6: Install CM and CDH - Configure HDFS and Understand Concepts
Lecture 36 Introduction
Lecture 37 Setup HDFS
Lecture 38 Copy Data into HDFS
Lecture 39 Copy Data into HDFS Contd
Lecture 40 Components of HDFS
Lecture 41 Components of HDFS Contd
Lecture 42 Configuration files and Important Properties
Lecture 43 Review Web UIs and log files
Lecture 44 Checkpointing
Lecture 45 Checkpointing Contd
Lecture 46 Namenode Recovery Process
Lecture 47 Configure Rack Awareness
Section 7: Install CM and CDH - Important HDFS Commands
Lecture 48 Introduction
Lecture 49 Getting list of commands and help
Lecture 50 Creating Directories and Changing Ownership
Lecture 51 Managing Files and File Permissions - Deleting Files from HDFS
Lecture 52 Managing Files and File Permissions - Copying Files Local File System and HDFS
Lecture 53 Managing Files and File Permissions - Copying Files within HDFS
Lecture 54 Managing Files and File Permissions - Previewing Data in HDFS
Lecture 55 Managing Files and File Permissions - Changing File Permissions
Lecture 56 Controlling Access using ACLs - Enable ACLs On Cluster
Lecture 57 Controlling Access using ACLs - ACLs On Files
Lecture 58 Controlling Access using ACLs - ACLs On Directories
Lecture 59 Controlling Access using ACLs - Removing ACLs
Lecture 60 Overriding Properties
Lecture 61 HDFS usage commands and getting metadata
Lecture 62 Creating Snapshots
Lecture 63 Using CLI for administration
Section 8: Install CM and CDH - Configure YARN + MRv2 and Understand Concepts
Lecture 64 Introduction
Lecture 65 Setup YARN + MR2
Lecture 66 Run Simple Map Reduce Job
Lecture 67 Components of YARN and MR2
Lecture 68 Configuration files and Important Properties - Overview
Lecture 69 Configuration files and Important Properties - Review YARN Properties
Lecture 70 Configuration files and Important Properties - Review Map Reduce Properties
Lecture 71 Configuration files and Important Properties - Running Jobs
Lecture 72 Review Web UIs and log files
Lecture 73 YARN and MR2 CLI
Lecture 74 YARN Application Life Cycle
Lecture 75 Map Reduce Job Execution Life Cycle
Section 9: Install CM and CDH - Configuring HDFS and YARN HA
Lecture 76 Introduction
Lecture 77 High Availability - Overview
Lecture 78 Configure HDFS Namenode HA
Lecture 79 Review Properties - HDFS Namenode HA
Lecture 80 HDFS Namenode HA - Quick Recap of HDFS typical Configuration
Lecture 81 HDFS Namenode HA - Components
Lecture 82 HDFS Namenode HA - Automatic failover
Lecture 83 Configure YARN Resource Manager HA
Lecture 84 Review - YARN Resource Manager HA
Lecture 85 High Availability - Implications
Section 10: Install CM and CDH - YARN Schedulers - FIFO, Fair, and Capacity
Lecture 86 Introduction
Lecture 87 Schedulers Overview
Lecture 88 FIFO Scheduler
Lecture 89 Introduction to Fair Scheduler
Lecture 90 Configure Fair Scheduler - Configure Cluster with Fair Scheduler
Lecture 91 Configure Fair Scheduler - Running Jobs Without Specifying Queue
Lecture 92 Configure Fair Scheduler - Running Jobs Specifying Queue
Lecture 93 Configure Fair Scheduler - Important Properties
Lecture 94 Capacity Scheduler - Introduction
Lecture 95 Capacity Scheduler - Configure using Cloudera Manager
Lecture 96 Capacity Scheduler - Run Sample Jobs
Section 11: Install Other Components - Spark Overview and Installation
Lecture 97 Introduction
Lecture 98 Setup and Validate Spark 1.6.x
Lecture 99 Review Important Properties
Lecture 100 Spark Execution Life Cycle
Lecture 101 Convert Cluster to Parcels
Lecture 102 Setup Spark 2.3.x
Lecture 103 Run Spark Jobs - Spark 2.3.x
Section 12: Install Other Components - Configuring Database Engines - Hive and Impala
Lecture 104 Introduction
Lecture 105 Setup Hive and Impala
Lecture 106 Validating Hive and Impala
Lecture 107 Components and Properties of Hive
Lecture 108 Troubleshooting Hive Issues
Lecture 109 Hive Commands and Queries
Lecture 110 Different Query Engines
Lecture 111 Components and Properties of Impala
Lecture 112 Running Queries using Impala - Overview
Section 13: Install Other Components - Configure Hadoop Ecosystem components
Lecture 113 Introduction
Lecture 114 Setup Oozie, Pig, Sqoop and Hue
Lecture 115 Review Important Properties
Lecture 116 Run Sample Oozie job
Lecture 117 Run Pig Job
Lecture 118 Validate Sqoop
Lecture 119 Overview of Hue
Section 14: Install Other Components - Install and Configure Kafka and HBase
Lecture 120 Introduction
Lecture 121 Kafka Overview
Lecture 122 Setup Parcels and Add Kafka Service
Lecture 123 Validate Kafka
Lecture 124 Setting up HBase
Lecture 125 Validate HBase
Section 15: CCA 131 - Revision for the Exam - Install the Cluster
Lecture 126 Introduction
Lecture 127 Set up a local CDH Repository
Lecture 128 Perform OS-level Configuration
Lecture 129 Install Cloudera Manager Server and Agents
Lecture 130 Install CDH using Cloudera Manager
Lecture 131 Add a New Node to an Existing Cluster
Lecture 132 Install - Add Host as Worker
Lecture 133 Add a Service using Cloudera Manager
Section 16: CCA 131 - Revision for the Exam - Configure the Cluster
Lecture 134 Introduction
Lecture 135 Configure a Service using Cloudera Manager
Lecture 136 Create an HDFS user's home directory
Lecture 137 Configure NameNode HA
Lecture 138 Configure ResourceManager HA
Lecture 139 Configure proxy for HiveServer2/Impala - Install HA Proxy
Lecture 140 Configure proxy for HiveServer2
Lecture 141 Configure proxy for Impala
Section 17: CCA 131 - Revision for the Exam - Manage the Cluster
Lecture 142 Introduction
Lecture 143 Rebalance the cluster
Lecture 144 Set up alerting for excessive disk fill
Lecture 145 Define and install a rack topology script
Lecture 146 Add I/O Compression Library
Lecture 147 YARN Resource Assignment
Lecture 148 Commission/Decommission a node
Section 18: CCA 131 - Revision for the Exam - Secure the Cluster
Lecture 149 Introduction
Lecture 150 Configure HDFS ACLs
Lecture 151 Install and Configure Sentry
Lecture 152 Configure Hue user authorization and authentication
Lecture 153 Enable or Configure Log and Query Redaction
Lecture 154 Create Encrypted Zones in HDFS - Enable Encryption
Lecture 155 Create Encrypted Zones in HDFS - Create Encryption Keys and Zones
Section 19: CCA 131 - Revision for the Exam - Test and Troubleshoot the Cluster
Lecture 156 Introduction
Lecture 157 Execute file system commands via HTTPFS
Lecture 158 Efficiently copy data within a cluster
Lecture 159 Efficiently copy data between clusters
Lecture 160 Create/Restore a snapshot of an HDFS directory
Lecture 161 Get/Set ACLs for a file or directory structure
Lecture 162 Benchmark the cluster (I/O, CPU, network)
Lecture 163 Resolve errors/warnings in Cloudera Manager
Lecture 164 Resolve performance problems/errors in cluster operation
System Administrators who want to understand Big Data eco system and setup clusters,Experienced Big Data Administrators who want to learn how to manage Hadoop and Spark Clusters setup using CDH,Entry level professionals who want to learn basics and Setup Big Data Clusters
Code:
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Cloud Academy - DP-300 Exam Prep: Administering Relational Databases on ...
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Cloud Academy - DP-300 Exam Prep: Administering Relational Databases on Microsoft Azure
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 11h | Size: 11 GB
This Learning Path is designed to help you prepare for the DP-300 Administering Relational Databases on Microsoft Azure exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming an Azure SQL database specialist
The DP-300 exam is part of Microsoft's new role-based certification program and is required to gain the Azure Database Administrator Associate certification. Candidates who already possess either the MCSA: SQL Server 2012/2014, MCSA SQL 2016 Database Development or MCSA: SQL 2016 Database Administration certification will find DP-300 builds on your database knowledge and will certify you to administer Azure hosted SQL databases.
Learning Objectives
Understand the differences between Azure SQL offerings and how best to leverage their features
Implement a secure database environment
Monitor database and server performance
Optimize database and server performance
Automate database tasks
Implement high availability and disaster recovery
Use T-SQL to perform database administration tasks
Intended Audience
People who want to become an Azure SQL Database administrator
People preparing for Microsoft's DP-300 exam
Prerequisites
General knowledge of Relational Database concepts
Familiarity with Azure Data Fundamentals (DP-900)
Code:
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MasterClass - R.L. Stine Teaches Writing For Young Audiences
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MasterClass - R.L. Stine Teaches Writing For Young Audiences
R.L. Stine | Duration: 3:53 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 3,66 GB | Language: English
The Goosebumps author teaches you how to generate ideas, outline a plot, and hook young readers from the first page.
Award-winning novelist R.L. Stine wrote jokes and funny stories for 20 years before he switched gears and became a horror-writing legend. Since then, the author of the Goosebumps and Fear Street series has sold more than 400 million copies. In his first-ever online writing class, Bob takes the fear out of crafting fiction. Whether you're a beginner or a pro, you'll learn new ways to conquer writer's block, develop plots, and build nail-biting suspense that will thrill young readers.
Homepage
Code:
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Code:
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Build 2D, 3D, And Vr Games In Unity And Unreal *Masterclass*
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Build 2D, 3D, And Vr Games In Unity And Unreal *Masterclass*
Last updated 9/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 18.39 GB | Duration: 85h 38m
Get free: 2 complete books and 6 professional webinars! C# coding, C++, game design, game development, game mechanics.
What you'll learn
Build Virtual Reality games in Unity Technologies.
Learn the fundamentals of game design.
Create artwork in Blender.
Code in C# and C++.
Learn to make simple games.
Requirements
Download & install Unity? 5.4.3f1, Blender v2.78, & the Unreal Engine 4.
This course was recorded on a Mac, but you can use a PC.
Description
Make 30 virtual reality games in Unity while learning to code in C# and making low poly 3D art. Make 6 beginner Unreal games with C++. You can do it."I love it so far it's nice and slow and doesn't skip parts making it very friendly to beginners and people who have never developed before."A wildly successful Kickstarter funded this coursePractice with real-life & practical examples you would use as a day to day developer.BONUS! You'll find in this course 2 free books (Build 6 Games in Unreal and Build a 3d Virtual Reality Whackamole Game) by Mammoth InteractiveBONUS! Also included are 6 webinars recorded by our founder John Bura:Intro to Kotlin: Java's Replacement for Android App Development Intro to Android Studio and JavaCore Data: Learn to Use Xcode's Database Google Maps and Xcode: Build a Maps-Focused ProjectParse JSON Data: Build a Weather AppIntro to SpriteKit Games: Build a Simple Pong CloneOur two very talented instructors, Kevin Liao and Glauco Pires, explain everything from a basic, beginner level. That means, you don't have to have any prior coding or digital art experience to succeed here.Glauco Pires will take you through the process of coding a game in Unity? from scratch. You will make VR games in Unity as well as 2D and 3D games in Unreal.Kevin Liao will teach you how to create all the artistic elements you will need to complete the Unity games. Kevin will teach this section of the course in Blender; the wonderful, free 3D modeling program.Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Build 2D, 3D, and VR Games in Unity and Unreal *Masterclass*Complete 35 Projects: Unity VR Games with C# & iPhone AppsComplete 3D Modeler & C# Unity VR Game Developer MasterclassThe Complete VR Course: Build 3D Models and Unity GamesBuild 30 Mini 3D Virtual Reality Games: Unity? From ScratchMaster Game Development - 90 Games in Unity & Construct 2Make 30 VR Games in Unity and Learn to CodeLearn to code by building 6 games in the Unreal Engine Complete Unreal & Android Development: Build Games & CodeComplete 6 Games in Unreal Engine 4 and 20 in Construct 2Unreal Engine Game Mechanics Mastery & MakeHuman 3D ModelingComplete Developer Masterclass: Learn Angular 2 and UnrealMaster Unreal and Xamarin: Build Professional Games and AppsUnreal Engine 4 & Android Development: Make 6 Games, 12 AppsBeginner's Swift 4 & Unreal Engine - Learn Xcode, Make GamesProject-based training content is the best way to reach your goals. Take this course to get practical & employable skills right now with Mammoth Interactive.You can use the projects you build in this Mammoth Interactive course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level. Learn these powerful tools today & get a head start for tomorrow. People who can master technology will rule the future. We promise that this course will be better & more effective than reading books. We show how to master technology. This course will give you everything you need to thrive in our technological society. Enroll right now to start learning with Mammoth Interactive
Overview
Section 1: 30 3D Virtual Reality Unity Games
Lecture 1 5 Reasons To Learn Virtual Reality
Lecture 2 Unity VR Games Preview
Lecture 3 How To Get Unity & Blender
Section 2: Unity Introduction
Lecture 4 Have Unity experience? Jump to Section 7!
Lecture 5 Unity Introduction
Lecture 6 Unity Editor
Lecture 7 Moving a Cube - Unity
Lecture 8 Materials - Unity
Lecture 9 Lights - Unity
Lecture 10 Particle Systems - Unity
Lecture 11 Game Physics - Unity
Lecture 12 Asset Store - Unity
Section 3: C# Coding - Unity Introduction
Lecture 13 C# Coding Introduction - Unity
Lecture 14 Variables - Unity
Lecture 15 Methods - Unity
Lecture 16 If Blocks - Unity
Lecture 17 Loops - Unity
Section 4: Inputs - Unity Introduction
Lecture 18 Inputs Introduction - Unity
Lecture 19 Handing User Input
Lecture 20 Moving a Player - Unity
Lecture 21 Jumping - Unity
Lecture 22 Moving Forward - Unity
Lecture 23 Cycling Cameras - Unity
Section 5: Prefabs - Unity Introduction
Lecture 24 Let's Talk About Prefabs - Unity
Lecture 25 Prefabs Introduction - Unity
Lecture 26 FAQ on Instantiating Objects - Unity
Lecture 27 Random Angles - Unity
Lecture 28 FAQ on Destroying Objects - Unity
Lecture 29 Explosions - Unity
Lecture 30 Explosion Effects
Section 6: Virtual Reality (VR) - Unity Intro
Lecture 31 VR Introduction - Unity
Lecture 32 Activating VR
Lecture 33 Building a Castle
Lecture 34 Camera Changing Position?
Lecture 35 Lowering Castle Doors
Lecture 36 Triggering Events
Lecture 37 Interface
Section 7: SDK Update of June 2017
Lecture 38 Updated: Using this Course with Unity Upgrade
Lecture 39 Using Unity Package with Unity 5.6+
Section 8: (Files) Code & Art - Unity VR
Lecture 40 Source Code & Art Assets - Unity VR
Section 9: Whack a Mole - Unity VR Game
Lecture 41 Whack a Mole (Introduction)
Lecture 42 Whack a Mole (Coding)
Lecture 43 GvrViewer.Instance.Triggered Equivalent
Lecture 44 Whack a Mole (Coding ii)
Lecture 45 Whack a Mole (Coding iii)
Section 10: Blender Introduction
Lecture 46 Why You Should Use Blender
Lecture 47 Intro & Customizing Settings - Blender
Lecture 48 Controlling Camera - Blender
Lecture 49 Emulate Numpad Camera - Blender
Lecture 50 Manipulating Objects - Blender
Lecture 51 Common Tools - Blender
Lecture 52 Mirroring 1 Side of Object - Blender
Section 11: 3D Game Art - Whack a Mole
Lecture 53 Whack a Mole (Art)
Lecture 54 Whack a Mole (Art ii)
Lecture 55 Whack a Mole (Final)
Section 12: Hurdles - Unity VR Game
Lecture 56 Hurdles (Introduction)
Lecture 57 Hurdles (Coding)
Lecture 58 Hurdles (Coding ii)
Lecture 59 Hurdles (Coding iii)
Lecture 60 Hurdles (Art)
Lecture 61 Hurdles (Final)
Section 13: Cup and Ball - Unity VR Game
Lecture 62 Cup and Ball (Introduction)
Lecture 63 Cup and Ball (Coding)
Lecture 64 Cup and Ball (Coding ii)
Lecture 65 Cup and Ball (Coding iii)
Lecture 66 Cup and Ball (Art)
Lecture 67 Cup and Ball (Final)
Section 14: Bowling - Unity VR Game
Lecture 68 Bowling (Introduction)
Lecture 69 Bowling (Coding)
Lecture 70 Bowling (Coding ii)
Lecture 71 Bowling (Coding iii)
Lecture 72 Bowling (Art)
Lecture 73 Bowling (Art ii)
Lecture 74 Bowling (Final)
Section 15: Ninja Sword - Unity VR Game
Lecture 75 Ninja Sword (Introduction)
Lecture 76 Ninja Sword (Coding)
Lecture 77 Ninja Sword (Coding ii)
Lecture 78 Ninja Sword (Coding iii)
Lecture 79 Ninja Sword (Art)
Lecture 80 Ninja Sword (Art ii)
Lecture 81 Ninja Sword (Final)
Section 16: Basketball - Unity VR Game
Lecture 82 Basketball (Introduction)
Lecture 83 Basketball (Coding)
Lecture 84 Basketball (Coding ii)
Lecture 85 Basketball (Coding iii)
Lecture 86 Basketball (Art)
Lecture 87 Basketball (Final)
Section 17: Christmas Gifts - Unity VR Game
Lecture 88 Christmas Gifts (Introduction)
Lecture 89 Christmas Gifts (Coding)
Lecture 90 Christmas Gifts (Coding ii)
Lecture 91 Christmas Gifts (Coding iii)
Lecture 92 Christmas Gifts (Art)
Lecture 93 Christmas Gifts (Art ii)
Lecture 94 Christmas Gifts (Final)
Section 18: Spaceship - Unity VR Game
Lecture 95 Spaceship (Introduction)
Lecture 96 Spaceship (Coding)
Lecture 97 Spaceship (Coding ii)
Lecture 98 Spaceship (Art)
Lecture 99 Spaceship (Art ii)
Lecture 100 Spaceship (Final)
Section 19: Baseball - Unity VR Game
Lecture 101 Baseball (Introduction)
Lecture 102 Baseball (Coding)
Lecture 103 Baseball (Coding ii)
Lecture 104 Baseball (Coding iii)
Lecture 105 Baseball (Art)
Lecture 106 Baseball (Art ii)
Lecture 107 Baseball (Final)
Section 20: Genius - Unity VR Game
Lecture 108 Genius (Introduction)
Lecture 109 Genius (Coding)
Lecture 110 Genius (Coding ii)
Lecture 111 Genius (Coding iii)
Lecture 112 Genius (Art)
Lecture 113 Genius (Final)
Section 21: Zombie Survival - Unity VR Game
Lecture 114 Zombie Survival (Introduction)
Lecture 115 Zombie Survival (Coding)
Lecture 116 Zombie Survival (Coding ii)
Lecture 117 Zombie Survival (Coding iii)
Lecture 118 Zombie Survival (Art)
Lecture 119 Zombie Survival (Art ii)
Lecture 120 Zombie Survival (Final)
Section 22: Space Shooter - Unity VR Game
Lecture 121 Space Shooter (Introduction)
Lecture 122 Space Shooter (Coding)
Lecture 123 Space Shooter (Coding ii)
Lecture 124 Space Shooter (Coding iii)
Lecture 125 Space Shooter (Art)
Lecture 126 Space Shooter (Final)
Section 23: Clay Shooting - Unity VR Game
Lecture 127 Clay Shooting (Introduction)
Lecture 128 Clay Shooting (Coding)
Lecture 129 Clay Shooting (Coding ii)
Lecture 130 Clay Shooting (Coding iii)
Lecture 131 Clay Shooting (Coding iv)
Lecture 132 Clay Shooting (Art)
Lecture 133 Clay Shooting (Final)
Section 24: Fruit Slash - Unity VR Game
Lecture 134 Fruit Slash (Introduction)
Lecture 135 Fruit Slash (Coding)
Lecture 136 Fruit Slash (Coding ii)
Lecture 137 Fruit Slash (Coding iii)
Lecture 138 Fruit Slash (Art)
Lecture 139 Fruit Slash (Final)
Section 25: Flappy Bird - Unity VR Game
Lecture 140 Flappy Bird (Introduction)
Lecture 141 Flappy Bird (Coding)
Lecture 142 Flappy Bird (Coding ii)
Lecture 143 Flappy Bird (Coding iii)
Lecture 144 Flappy Bird (Art)
Lecture 145 Flappy Bird (Final)
Section 26: Pong - Unity VR Game
Lecture 146 Pong (Introduction)
Lecture 147 Pong (Coding)
Lecture 148 Pong (Coding ii)
Lecture 149 Pong (Coding iii)
Lecture 150 Pong (Art)
Lecture 151 Pong (Final)
Section 27: Ghost - Unity VR Game
Lecture 152 Ghost (Introduction)
Lecture 153 Ghost (Coding)
Lecture 154 Ghost (Coding ii)
Lecture 155 Ghost (Coding iii)
Lecture 156 Ghost (Art)
Lecture 157 Ghost (Final)
Section 28: Soccer Shootout - Unity VR Game
Lecture 158 Soccer Shootout (Introduction)
Lecture 159 Soccer Shootout (Coding)
Lecture 160 Soccer Shootout (Coding ii)
Lecture 161 Soccer Shootout (Coding iii)
Lecture 162 Soccer Shootout (Art)
Lecture 163 Soccer Shootout (Art ii)
Lecture 164 Soccer Shootout (Final)
Section 29: Motorcycle - Unity VR Game
Lecture 165 Motorcycle (Introduction)
Lecture 166 Motorcycle (Coding)
Lecture 167 Motorcycle (Coding ii)
Lecture 168 Motorcycle (Coding iii)
Lecture 169 Motorcycle (Art)
Lecture 170 Motorcycle (Art ii)
Lecture 171 Motorcycle (Final)
Section 30: Turret - Unity VR Game
Lecture 172 Turret (Introduction)
Lecture 173 Turret (Coding)
Lecture 174 Turret (Coding ii)
Lecture 175 Turret (Coding iii)
Lecture 176 Turret (Coding iv)
Lecture 177 Turret (Art)
Lecture 178 Turret (Art ii)
Lecture 179 Turret (Final)
Section 31: Western Shooter - Unity VR Game
Lecture 180 Western Shooter (Introduction)
Lecture 181 Western Shooter (Coding)
Lecture 182 Western Shooter (Coding ii)
Lecture 183 Western Shooter (Coding iii)
Lecture 184 Western Shooter (Art)
Lecture 185 Western Shooter (Art ii)
Lecture 186 Western Shooter (Final)
Section 32: Cannonball - Unity VR Game
Lecture 187 Cannonball (Introduction)
Lecture 188 Cannonball (Coding)
Lecture 189 Cannonball (Coding ii)
Lecture 190 Cannonball (Coding iii)
Lecture 191 Cannonball (Art)
Lecture 192 Cannonball (Final)
Section 33: Paraglider - Unity VR Game
Lecture 193 Paraglider (Introduction)
Lecture 194 Paraglider (Coding)
Lecture 195 Paraglider (Coding ii)
Lecture 196 Paraglider (Coding iii)
Lecture 197 Paraglider (Art)
Lecture 198 Paraglider (Final)
Section 34: Train - Unity VR Game
Lecture 199 Train (Introduction)
Lecture 200 Train (Coding)
Lecture 201 Train (Coding ii)
Lecture 202 Train (Coding iii)
Lecture 203 Train (Art)
Lecture 204 Train (Final)
Section 35: First Person Shooter - Unity VR Game
Lecture 205 First Person Shooter (Introduction)
Lecture 206 First Person Shooter (Coding)
Lecture 207 First Person Shooter (Coding ii)
Lecture 208 First Person Shooter (Coding iii)
Lecture 209 First Person Shooter (Art)
Lecture 210 First Person Shooter (Final)
Section 36: Escape Room - Unity VR Game
Lecture 211 Escape Room (Introduction)
Lecture 212 Escape Room (Coding)
Lecture 213 Escape Room (Coding ii)
Lecture 214 Escape Room (Art)
Lecture 215 Escape Room (Final)
Section 37: Forest Searcher - Unity VR Game
Lecture 216 Forest Searcher (Introduction)
Lecture 217 Forest Searcher (Coding)
Lecture 218 Forest Searcher (Coding ii)
Lecture 219 Forest Searcher (Coding iii)
Lecture 220 Forest Searcher (Art)
Lecture 221 Forest Searcher (Art ii)
Lecture 222 Forest Searcher (Art iii)
Lecture 223 Forest Searcher (Final)
Section 38: Go-Kart Racing - Unity VR Game
Lecture 224 Go-Kart Racing (Introduction)
Lecture 225 Go-Kart Racing (Coding)
Lecture 226 Go-Kart Racing (Coding ii)
Lecture 227 Go-Kart Racing (Coding iii)
Lecture 228 Go-Kart Racing (Art)
Lecture 229 Go-Kart Racing (Final)
Section 39: Hide and Seek - Unity VR Game
Lecture 230 Hide and Seek (Introduction)
Lecture 231 Hide and Seek (Coding)
Lecture 232 Hide and Seek (Coding ii)
Lecture 233 Hide and Seek (Coding iii)
Lecture 234 Hide and Seek (Art)
Lecture 235 Hide and Seek (Final)
Section 40: Tic Tac Toe - Unity VR Game
Lecture 236 Tic Tac Toe (Introduction)
Lecture 237 Tic Tac Toe (Coding)
Lecture 238 Tic Tac Toe (Coding ii)
Lecture 239 Tic Tac Toe (Coding iii)
Lecture 240 Tic Tac Toe (Art)
Lecture 241 Tic Tac Toe (Final)
Section 41: Free eBook of $25.99 Value
Lecture 242 Free eBook of $25.99 Value
Section 42: Introducing Unreal
Lecture 243 Welcome to Unreal
Section 43: Unreal Overview
Lecture 244 Unreal Introduction
Lecture 245 Setting up the project
Lecture 246 Adding a camera
Lecture 247 Hero code
Lecture 248 Hero visual
Lecture 249 Adding a coin
Lecture 250 Player collision box
Lecture 251 Collision box position
Lecture 252 Making a simple interface
Lecture 253 Widget code
Lecture 254 Game mode
Lecture 255 Showing the interface
Lecture 256 Collecting all coins
Lecture 257 Restarting the game
Section 44: Unreal Shooter
Lecture 258 Source Code
Lecture 259 Shooter Introduction
Lecture 260 Setting up Unreal
Lecture 261 Setting the Camera
Lecture 262 Designing a player
Lecture 263 Update! Collision Boxes and UGameplayStatics
Lecture 264 Moving the Ship
Lecture 265 FAQ on Visual Studio
Lecture 266 Designing a Bullet
Lecture 267 Making bullets move
Lecture 268 Converting bullet to blueprint
Lecture 269 Spawning Bullets
Lecture 270 Making the Enemy
Lecture 271 Player-enemy collision
Lecture 272 Bullet-enemy collision
Lecture 273 Creating game mode
Lecture 274 Spawning enemies continued
Lecture 275 Spawning enemies continued
Lecture 276 Restarting game
Lecture 277 Game widget
Lecture 278 Widget blueprint
Lecture 279 Spawning widget
Lecture 280 Spawning widget continued
Lecture 281 Integrating interface
Section 45: Unreal Platform Switcher
Lecture 282 Source Code
Lecture 283 Platform Switcher Introduction
Lecture 284 Setting up Unreal
Lecture 285 Designing the level
Lecture 286 Creating a game mode
Lecture 287 Switch mechanic
Lecture 288 Creating an orb
Lecture 289 Creating obstacles
Lecture 290 Game widget
Lecture 291 Coding the game widget
Lecture 292 Spawning the widget
Lecture 293 Game messages
Lecture 294 Restarting the game
Section 46: Unreal First Person Shooter
Lecture 295 Source Code
Lecture 296 First Person Shooter Introduction
Lecture 297 Setting up project
Lecture 298 Making an enemy
Lecture 299 Making a game mode
Lecture 300 Integrating the game mode
Lecture 301 Spawning enemies
Lecture 302 Game mode hooks
Lecture 303 Making the interface
Lecture 304 Integrating interface to game mode
Lecture 305 Spawning interface
Lecture 306 Restarting game
Section 47: Unreal Turret Game
Lecture 307 Source Code
Lecture 308 Turret Game Introduction
Lecture 309 Setting up project
Lecture 310 Constraining the player
Lecture 311 Making the enemy
Lecture 312 Making game mode
Lecture 313 Integrating game mode
Lecture 314 Health loss
Lecture 315 Creating interface
Lecture 316 Interface system
Lecture 317 Adding interface and game restart
Section 48: Unreal Runner Switcher
Lecture 318 Source Code
Lecture 319 Runner Switcher Introduction
Lecture 320 Setting up project
Lecture 321 Runner script
Lecture 322 Designing runner
Lecture 323 Making a game mode
Lecture 324 Endless runner logic
Lecture 325 Game blocks
Lecture 326 Integrating game blocks
Lecture 327 Creating enemy
Lecture 328 Overlap collision
Lecture 329 Enemy blocks
Lecture 330 Game over
Lecture 331 Creating a widget
Lecture 332 Game widget script
Lecture 333 Mode spawning widget
Lecture 334 Restarting game
Section 49: Free Stuff for Students
Lecture 335 (Normally $25.99) Unreal eBook
Lecture 336 (Normally $25.99) Unity eBook
Lecture 337 Please rate this course
Section 50: Where To Find More Content
Lecture 338 Bonus Lecture: TODAY! Unreal Masterclass on Kickstarter + Webinars
Complete beginners. No prior coding or digital art skills necessary.,People who want to make games.
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/build-2d-3d-and-vr-games-in-unity-and-unreal-masterclass/
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Code:
https://uploadgig.com/file/download/6902a415559C0933/Build%202D%203D%20and%20VR%20Games%20in%20Unity%20and%20Unreal%20Masterclass.part1.rar
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https://uploadgig.com/file/download/8C97634a40c3de2d/Build%202D%203D%20and%20VR%20Games%20in%20Unity%20and%20Unreal%20Masterclass.part4.rar
Code:
https://nitroflare.com/view/0B76ACAC996D7A6/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part1.rar
https://nitroflare.com/view/5CBA90CA2FE999A/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part2.rar
https://nitroflare.com/view/52681578F65E074/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part3.rar
https://nitroflare.com/view/F2D48567B80A656/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part4.rar
Code:
https://rapidgator.net/file/018f8aefefa7810dcf7efc40137aec5a/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part1.rar.html
https://rapidgator.net/file/24278d1e7c571731a65870b301151be8/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part2.rar.html
https://rapidgator.net/file/e46c27bcff9c7846c1dc860fabe8bf3a/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part3.rar.html
https://rapidgator.net/file/cc9d63e90090521953d76f23e1bc36ac/Build_2D_3D_and_VR_Games_in_Unity_and_Unreal_Masterclass.part4.rar.html
Learn To Master Python: From Beginner To Expert
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Learn To Master Python: From Beginner To Expert
Last updated 4/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 65.56 GB | Duration: 115h 31m
Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to make game changing apps.
What you'll learn
Code in the Python programming language.
Create basic line and scatter plots with Matplotlib
Customize our graphs with visuals, a title, labels, text and a legend.
Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps
Machine learning goes mobile: learn how to incorporate machine learning models into Android apps
And More!
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.
This course was recorded on a Mac, but you can use a PC
Description
We at Mammoth Interactive value input from students like you. Feel free to leave us your feedback.This course was funded through a massively successful Kickstarter campaign.Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your appsPrediction Models MasterclassBy the end of this course you will have 3 complete mobile machine learning models and apps. We will build a simple weather prediction project, stock market prediction project, and text-response project. For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.No experience? No problemDo you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. Make 2D & 3D Graphs in Python with Matplotlib for Beginners! is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.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: Make Predictions with Python Machine Learning for Apps - Resources
Lecture 1 Make Predictions with Python Machine Learning for Apps - Resources
Section 2: Introduction to Machine Learning and Software
Lecture 2 Source Code
Section 3: Intro to Android
Lecture 3 Intro and Topics List
Section 4: Intro to Android Studio
Lecture 4 Downloading and Installing Android Studio
Lecture 5 Exploring Interface
Lecture 6 Setting up an Emulator and Running Project
Section 5: Intro to Java
Lecture 7 Intro to Language Basics
Lecture 8 Variable Types
Lecture 9 Operations on Variables
Lecture 10 Array and Lists
Lecture 11 Array and List Operations
Lecture 12 If and Switch Statements
Lecture 13 While Loops
Lecture 14 For Loops
Lecture 15 Functions Intro
Lecture 16 Parameters and Return Values
Lecture 17 Classes and Objects Intro
Lecture 18 Superclass and Subclasses
Lecture 19 Static Variables and Axis Modifiers
Section 6: Intro to App Development
Lecture 20 Intro To Android App Development
Lecture 21 Building Basic UI
Lecture 22 Connecting UI to Backend
Lecture 23 Implementing Backend and Tidying UI
Section 7: Intro to ML Concepts
Lecture 24 Intro to ML
Lecture 25 Pycharm Files
Section 8: Intro to Pycharm
Lecture 26 Intro and Topics List
Lecture 27 Learning Python with Mammoth Interactive
Section 9: Introduction
Lecture 28 Downloading and Installing Pycharm and Python
Lecture 29 Support for Python Problems or Questions
Lecture 30 Exploring Pycharm
Section 10: Python Language Basics
Lecture 31 Intro to Variables
Lecture 32 Variables Operations and Conversions
Lecture 33 Collection Types
Lecture 34 Collections Operations
Lecture 35 Control Flow If Statements
Lecture 36 While and For Loops
Lecture 37 Functions
Lecture 38 Classes and Objects
Section 11: Intro to Tensorflow
Lecture 39 Intro
Lecture 40 Installing TensorFlow
Lecture 41 Topics List
Lecture 42 Importing Tensorflow to Pycharm
Lecture 43 Constant Nodes and Sessions
Lecture 44 Variable Nodes
Lecture 45 Placeholder Nodes
Lecture 46 Operation nodes
Lecture 47 Loss, Optimizers, and Training
Lecture 48 Building a Linear Regression Model
Lecture 49 Source Files
Section 12: Machine Learning in Android Studio Projects
Lecture 50 Introduction to Level 2
Section 13: Tensorflow Estimator
Lecture 51 Introduction
Lecture 52 Topics List
Lecture 53 Setting up Prebuilt Estimator Model
Lecture 54 Evaluating and Predicting with Prebuilt Model
Lecture 55 Building Custom Estimator Function
Lecture 56 Testing the Custom Estimator Function
Lecture 57 Summary and Model Comparison
Lecture 58 Source Files
Section 14: Intro to Android Machine Learning Model Import
Lecture 59 Intro and Demo
Lecture 60 Topics List
Lecture 61 Formatting and Saving the Model
Lecture 62 Saving the Optimized Graph File
Lecture 63 Starting Android Project
Lecture 64 Building the UI
Lecture 65 Implementing Inference Functionality
Lecture 66 Testing and Error Fixing
Lecture 67 Source Files
Section 15: Simple MNIST
Lecture 68 Intro and Demo
Lecture 69 Topics List and Intro to MNIST Data
Lecture 70 Building Computational Graph
Lecture 71 Training and Testing the Model
Lecture 72 Saving and Freezing the Graph for Android Import
Lecture 73 Setting up Android Studio Project
Lecture 74 Building the UI
Lecture 75 Loading Digit Images
Lecture 76 Formatting Image Data
Lecture 77 Making Prediction Using Model
Lecture 78 Displaying Results and Summary
Lecture 79 Simple MNIST - Mammoth Interactive
Section 16: MNIST with Estimator
Lecture 80 Introduction
Lecture 81 Topics List
Lecture 82 Building Custom Estimator Function
Lecture 83 Building Input Functions, Training, and Testing
Lecture 84 Predicting Using Our Model and Model Comparisons
Lecture 85 MNIST With Estimator - Mammoth Interactive
Section 17: Build Image Recognition Apps
Lecture 86 Introduction to Level 3
Lecture 87 Source Code
Section 18: Stock Market Prediction
Lecture 88 Project Demo
Lecture 89 Project Overview
Lecture 90 Retrieving Data via RESTful API Call
Lecture 91 Parsing JSON Data Pycharm Style
Lecture 92 Formatting Data
Lecture 93 Building the Model
Lecture 94 Training and Testing The model
Lecture 95 Freezing Graph
Lecture 96 Setting up Android Project
Lecture 97 Building UI
Lecture 98 Requesting Data Via AsyncTask
Lecture 99 Parsing JSON Data Android Style
Lecture 100 Running Inference and Displaying Results
Lecture 101 Stock Market Prediction Project Files- Mammoth Interactive
Section 19: Text Prediction
Lecture 102 Intro and Demo
Lecture 103 Tasks List
Lecture 104 Processing Text Data
Lecture 105 Building Data Sets and Model Builder Function
Lecture 106 Building Computational Graph
Lecture 107 Writing Training and Testing Code
Lecture 108 Training, Testing, and Freezing Graph
Lecture 109 Setting up Android Project
Lecture 110 Setting up UI
Lecture 111 Setting up Vocab Dictionary
Lecture 112 Formatting Input and Running Through Model
Lecture 113 Text Prediction - Mammoth Interactive
Section 20: Weather Prediction
Lecture 114 Intro and Demo
Lecture 115 Tasks List
Lecture 116 Retrieving the Data
Lecture 117 Formatting Data Sets
Lecture 118 Building Computational Graph
Lecture 119 Writing Training, Testing, and Evaluating Functions
Lecture 120 Training, Testing, and Freezing the Model
Lecture 121 Setting up Android Project
Lecture 122 Building the UI
Lecture 123 Build App Backend and Project Summary
Lecture 124 Weather Prediction - Mammoth Interactive
Section 21: Introduction to Python Programming
Lecture 125 Introduction to Python
Lecture 126 Variables
Lecture 127 Functions
Lecture 128 if Statements
Section 22: Lists
Lecture 129 Introduction to Lists
Section 23: Loops
Lecture 130 Introduction to and Examples of using Loops
Lecture 131 Getting familiar with while Loops
Lecture 132 Breaking and Continuing in Loops
Lecture 133 Making Shapes with Loops
Lecture 134 Nested Loops and Printing a Tic-Tac-Toe field
Section 24: Sets and Dictionaries
Lecture 135 Understanding Sets and Dictionaries
Lecture 136 An Example for an Invetory List
Section 25: Input and Output
Lecture 137 Introduction and Implementation of Input and Output
Lecture 138 Introduction to and Integrating File Input and Output
Lecture 139 An example for a Tic-Tac-Toe Game
Lecture 140 An example of a Tic-Tac-Toe Game (Cont'd)
Lecture 141 An Example writing Participant data to File
Lecture 142 An Example Reading Participant Data from File
Lecture 143 Doing some simple statistics with Participant data from File
Section 26: Classes
Lecture 144 A First Look at Classes
Lecture 145 Inheritance and Classes
Lecture 146 An Example of Classes using Pets
Lecture 147 An Example of Classes using Pets - Dogs
Lecture 148 An examples of Classes using Pets - Cats
Lecture 149 Taking The Pets Example further and adding humans
Section 27: Importing
Lecture 150 Introduction to Importing and the Random Library
Lecture 151 Another way of importing and using lists with random
Lecture 152 Using the Time Library
Lecture 153 Introduction to The Math Library
Lecture 154 Creating a User guessing Game with Random
Lecture 155 Making the Computer guess a random number
Section 28: Project Blackjack Game
Lecture 156 BlackJack Game Part 1 - Creating and Shuffling a Deck
Lecture 157 Blackjack Game Part 2 - Creating the player class
Lecture 158 Blackjack Game Part 3 - Expanding the Player Class
Lecture 159 Blackjack Game Part 4 - Implementing a bet and win
Lecture 160 Blackjack Game part 5 - Implementing the player moves
Lecture 161 Blackjack Game Part 6 - Running the Game (Final)
Section 29: Error Handling
Lecture 162 Getting started with error handling
Section 30: Matplotlib Fundamentals
Lecture 163 Introduction to Matplotlib
Lecture 164 Setup and Installation
Lecture 165 Creating Our First Scatter Plot
Lecture 166 Line Plots
Section 31: Graph Customization
Lecture 167 Labels, Title, and a Legend
Lecture 168 Changing The Axis Ticks
Lecture 169 Adding text into our graphs
Lecture 170 Annotating our graph
Lecture 171 Changing Figure Size and Saving the Figure
Lecture 172 Changing the axis scales
Section 32: Advanced Plots
Lecture 173 Creating Histograms
Lecture 174 Building More Histograms
Lecture 175 Changing Histogram Types
Lecture 176 Bar Plots
Lecture 177 Stack Plots
Lecture 178 Pie Charts
Lecture 179 Box And Whisker Plots
Section 33: Finance Graphs
Lecture 180 Creating Figures and Subplots
Lecture 181 Getting and Parsing csv data for plotting
Lecture 182 Creating a Candlestick plot
Lecture 183 Setting Dates for our Candlestick Plot
Lecture 184 Reading data directly from Yahoo
Lecture 185 Customizing our OHLC graph
Section 34: Advanced Graph Customization
Lecture 186 Adding grids
Lecture 187 Taking a closer look at tick labels
Lecture 188 Customising grid lines
Lecture 189 Live Graphs
Lecture 190 Styles and rcParameters
Lecture 191 Sharing an X axis between two plots
Lecture 192 Setting Axis Spines
Lecture 193 Creating multiple axes in our figure
Lecture 194 Creating multiple axes in our figure (cont'd)
Lecture 195 Plotting into the multiple axes
Lecture 196 Plotting into the multiple axes (cont'd)
Section 35: 3D Plotting
Lecture 197 Getting started with 3D plotting
Lecture 198 Surface plots and colormaps
Lecture 199 Wireframes and contour plots
Lecture 200 Stacks of histograms and text for 3D plotting
Section 36: Sketch
Lecture 201 Course Intro and Sketch Tools
Lecture 202 Sketch Files - Sketch Tools
Lecture 203 Sketch Basics and Online Resources
Lecture 204 Plug-ins and Designing your First Mobile app
Lecture 205 Your First Mobile App Continued
Lecture 206 Sketch Files - Your First Mobile App
Lecture 207 Shortcuts and Extra tips
Lecture 208 Sketch Files - Shortcuts by Mammoth Interactive
Section 37: Learn to Code in HTML
Lecture 209 Intro to HTML
Lecture 210 Writing our first HTML
Lecture 211 Intro to Lists and Comments
Lecture 212 Nested Lists
Lecture 213 Loading Images
Lecture 214 Loading Images in Lists
Lecture 215 Links
Lecture 216 Images as Link
Lecture 217 Mailto Link
Lecture 218 Div Element
Section 38: Learn to Code in CSS
Lecture 219 Introduction
Lecture 220 Introducing the Box Model
Lecture 221 Writing our First CSS
Lecture 222 More CSS Examples
Lecture 223 Inheritance
Lecture 224 More on Type Selectors
Lecture 225 Getting Direct Descendents
Lecture 226 Class Intro
Lecture 227 Multiple Classes
Lecture 228 id Intro
Lecture 229 CSS Specificity
Lecture 230 Selecting Multiple Pseudo Classes and Sibling Matching
Lecture 231 Styling Recipe Page
Lecture 232 Loading External Stylesheet
Section 39: D3.js
Lecture 233 Introduction to Course and D3
Lecture 234 Source Code
Lecture 235 Handling Data and Your First Project
Lecture 236 Source code
Lecture 237 Continuing your First Project
Lecture 238 Understanding Scale
Lecture 239 Source Code
Lecture 240 Complex charts, Animations and Interactivity
Lecture 241 Source Code
Section 40: Flask
Lecture 242 Setting Up and Basic Flask
Lecture 243 Setting up Terminals on Windows 7 and Mac
Lecture 244 Terminal basic commands and symbols
Lecture 245 Source Code - Setting up Flask
Lecture 246 Source Code - Basic Flask HTML & CSS
Lecture 247 Basic Flask Database
Lecture 248 Source Code - Basic Flask Database
Lecture 249 Flask Session and Resources
Lecture 250 Source Code - Flask Session
Lecture 251 Flask Digital Ocean
Lecture 252 Flask Digital Ocean Continued
Section 41: Xcode Fundamentals
Lecture 253 Intro and Demo
Lecture 254 General Interface
Lecture 255 Files System
Lecture 256 ViewController
Lecture 257 Storyboard File
Lecture 258 Connecting Outlets and Actions
Lecture 259 Running an Application
Lecture 260 Debugging an Application
Lecture 261 Source Code and Art Assets
Section 42: Swift 4 Language Basics
Lecture 262 Language Basics Topics List
Section 43: Variable and Constants
Lecture 263 Learning Goals
Lecture 264 Intro to Variables and Constants
Lecture 265 Primitive types
Lecture 266 Strings
Lecture 267 Nil Values
Lecture 268 Tuples
Lecture 269 Type Conversions
Lecture 270 Assignment Operators
Lecture 271 Conditional Operators
Lecture 272 Variables and Constants Text.playground
Section 44: Collection Types
Lecture 273 Topics List and Learning Objectives
Lecture 274 Intro to Collection Types
Lecture 275 Creating Arrays
Lecture 276 Common Array Operations
Lecture 277 Multidimensional Arrays
Lecture 278 Ranges
Lecture 279 Collection Types Text.playground
Section 45: Control flow
Lecture 280 Topics List and Learning Objectives
Lecture 281 Intro to If and Else Statements
Lecture 282 Else If Statements
Lecture 283 Multiple Simultaneous Tests
Lecture 284 Intro To Switch Statements
Lecture 285 Advanced Switch Statement Techniques
Lecture 286 Testing for Nil Values
Lecture 287 Intro to While Loops
Lecture 288 Intro to for...in Loops
Lecture 289 Intro to For...In Loops (Cont'd)
Lecture 290 Complex Loops and Loop Control statements
Lecture 291 Control Flow Text.playground
Section 46: Functions
Lecture 292 Intro to Functions
Lecture 293 Function Parameters
Lecture 294 Return Statements
Lecture 295 Parameter Variations - Argument Labels
Lecture 296 Parameter Variations - Default Values
Lecture 297 Parameters Variations - InOut Parameters
Lecture 298 Parameter Variations - Variadic Parameters
Lecture 299 Returning Multiple Values Simultaneously
Lecture 300 Functions Text.playground
Section 47: Classes, Struct and Enums
Lecture 301 Topics List and Learning Objectives
Lecture 302 Intro to Classes
Lecture 303 Properties as fields - Add to Class Implementation
Lecture 304 Custom Getters and Setters
Lecture 305 Calculated Properties
Lecture 306 Variable Scope and Self
Lecture 307 Lazy and Static Variables
Lecture 308 Behaviour as Instance Methods and Class type Methods
Lecture 309 Behaviour and Instance Methods
Lecture 310 Class Type Methods
Lecture 311 Class Instances as Field Variables
Lecture 312 Inheritance, Subclassing and SuperClassing
Lecture 313 Overriding Initializers
Lecture 314 Overriding Properties
Lecture 315 Overriding Methods
Lecture 316 Structs Overview
Lecture 317 Enumerations
Lecture 318 Comparisons between Classes, Structs and Enums
Lecture 319 Classes, Structs, Enums Text.playground
Section 48: Practical MacOS BootCamps
Lecture 320 Introduction and UI Elements
Lecture 321 Calculator Setup and Tax Calculator
Lecture 322 Calculate Tax And Tip - Mammoth Interactive Source Code
Lecture 323 Tip Calculator and View Controller
Lecture 324 View Controller - Mammoth Interactive Source Code
Lecture 325 Constraints
Lecture 326 Constraints - Mammoth Interactive Source Code
Lecture 327 Constraints Code
Lecture 328 Refactor
Lecture 329 Refactor - Mammoth Interactive Source Code
Lecture 330 MacOsElements - Mammoth Interactive Source Code
Section 49: Data Mining With Python
Lecture 331 Data Wrangling and Section 1
Lecture 332 Project Files - Data Mining with Mammoth Interactive
Lecture 333 Project Files - Data Wrangling with Mammoth Interactive
Lecture 334 Data Mining Fundamentals
Lecture 335 Project Files - Data Mining fundamentals with Mammoth Interactive
Lecture 336 Framework Explained, Taming Big Bank with Data
Lecture 337 Project Files - Frameworks with Mammoth Interactive
Lecture 338 Mining and Storing Data
Lecture 339 Project Files - Mining and Storing with Mammoth Interactive
Lecture 340 NLP (Natural Language Processing)
Lecture 341 Project Files - NLP with Mammoth Interactive
Lecture 342 Summary Challenge
Lecture 343 Conclusion Files - Mammoth Interactive
Section 50: Introduction to Video Editing
Lecture 344 Introduction to the Course
Lecture 345 Installing Camtasia
Lecture 346 Exploring the Interface
Lecture 347 Camtasia Project Files
Section 51: Setting Up a Screen Recording
Lecture 348 Introduction and Tips for Recording
Lecture 349 Creating a Recording Account
Lecture 350 Full Screen vs Window Mode
Lecture 351 Setting the Recording Resolution
Lecture 352 Different Resolutions and their Uses
Lecture 353 Tips to Improve Recording Quality and Summary
Section 52: Camtasia Recording
Lecture 354 Introduction and Workflow
Lecture 355 Tools Options Menu
Lecture 356 Your First Recording
Lecture 357 Viewing your Test
Lecture 358 Challenge - VIDEO GAME NARRATION
Lecture 359 Mic Etiqutte
Lecture 360 Project - Recording Exercise
Lecture 361 Webcam, Telprompter, and Summary
Section 53: Camtasia Screen Layout
Lecture 362 Introduction and Tools Panel
Lecture 363 Canvas
Lecture 364 Zoom N Pan
Lecture 365 Annotations
Lecture 366 Yellow Snap Lines
Lecture 367 TimeLine Basics, Summary and Challenge
Section 54: Camtasia Editing
Lecture 368 Introduction and Importing Media
Lecture 369 Markers
Lecture 370 Split
Lecture 371 Working with Audio
Lecture 372 Clip Speed
Lecture 373 Locking and Disabling tracks
Lecture 374 Transitions
Lecture 375 Working with Images
Lecture 376 Voice Narration
Lecture 377 Noise Removal
Lecture 378 Smart Focus
Lecture 379 Summary and Challenge
Section 55: Advance Editing Introduction
Lecture 380 Advance Editing Introduction
Lecture 381 Zooming Multiple Tracks
Lecture 382 Easing
Lecture 383 Animations
Lecture 384 Behaviors
Lecture 385 Color Adjustment
Lecture 386 Clip Speed
Lecture 387 Remove a Color
Lecture 388 Device Frame
Lecture 389 Theme Manager
Lecture 390 Libraries
Lecture 391 Media and Summary
Section 56: Camtasia Resources and Tips
Lecture 392 Resources and Tips Introduction
Lecture 393 Masking
Lecture 394 Extending Frames
Lecture 395 Working with Video
Section 57: Exporting a Project for Youtube
Lecture 396 Exporting a Project for Youtube
Section 58: Code with C#
Lecture 397 Introduction to Course and Types
Lecture 398 Operator, Classes , and Additional Types
Lecture 399 Statements & Loops
Lecture 400 Arrays, Lists, and Strings
Lecture 401 Files, Directories, and Debugs
Lecture 402 Source code
Section 59: Learn to Code with R
Lecture 403 Intro to R
Lecture 404 Control Flow and Core Concepts
Lecture 405 Matrices, Dataframes, Lists and Data Manipulation
Lecture 406 GGplot and Intro to Machine learning
Lecture 407 Conclusion
Lecture 408 Source Code
Section 60: Advanced R
Lecture 409 Course Overview and Data Setup
Lecture 410 Source Code - Setting Up Data - Mammoth Interactive
Lecture 411 Functions in R
Lecture 412 Source Code - Functions - Mammoth Interactive
Lecture 413 Regression Model
Lecture 414 Source Code - Regression Models - Mammoth Interactive
Lecture 415 Regression Models Continued and Classification Models
Lecture 416 Source Code - Classification Models - Mammoth Interactive
Lecture 417 Classification Models Continued, RMark Down and Excel
Lecture 418 Source Code - RMarkDown And Excel - Mammoth Interactive
Lecture 419 Datasets - Mammoth Interactive
Section 61: Learn to Code with Java
Lecture 420 Introduction and setting up Android Studio
Lecture 421 Introduction - Encryption Source Code
Lecture 422 Setting up Continued
Lecture 423 Java Programming Fundamentals
Lecture 424 Source Code - Java Programming Fundamentals
Lecture 425 Additional Java fundamentals
Lecture 426 Source Code - Additional fundamentals
Lecture 427 Classes
Lecture 428 Source Code - Classes
Lecture 429 Please rate this course
Lecture 430 Bonus Lecture - Mammoth Interactive Deals
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.,Anyone who wants to learn the technology that is shaping how we interact with the world around us,Beginners who want to learn how to use data science to make graphs.,Experienced programmers who want to learn a 2D plotting library for Python.,Anyone who is interested in predictive modeling for handling the stock market, weather, and text
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MasterClass - Ringo Starr Teaches Drumming & Creative Collaboration
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MasterClass - Ringo Starr Teaches Drumming & Creative Collaboration
Ringo Starr | Duration: 1:49 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 4,77 GB | Language: English
Legendary drummer Ringo Starr walks you through his approach to creative collaboration, playing with heart, and embracing your musical journey.
Music legend Ringo Starr helped create rock 'n' roll drumming as we know it today. Now the 9-time Grammy Award winner wants to inspire new and seasoned drummers alike. Through demonstrations behind the kit and personal stories from his time in The Beatles, Ringo shares his principles for creative collaboration, finding your unique playing style, and embracing your musical journey with joy.
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