Video Tutorials Collection

**Ajkula** · 10-08-2023, 10:24 PM

You'll learn all the fundamentals of Front-End Web Development and how you can Use them to start creating websites!

What you'll learn
HTML5 Basics
Advanced HTML5
CSS3 Basics
Advanced CSS3
JavaScript Basics
Advanced JavaScript
jQuery Basics
Advanced jQuery
Bootstrap 4 Basics
Advanced Bootstrap 4
SVG Basics
Advanced SVG
Sublime Text 3 (Text Editor)
Atom (Text Editor)
Visual Studio Code (Text Editor)
Brackets (Text Editor)
Google Chrome (Web Browser)
Firefox Developer Edition (Web Browser)
Firefox (Web Browser)
Opera (Web Browser)
Microsoft Edge (Web Browser)

Requirements
Willingness to learn
Atom (Text Editor) Free
Firefox Developer Edition (Web Browser) Free
Learn Front End Web Development from Scratch

Description
Hi and Welcome to Front End Web Development Ultimate Course 2022I'm you instructor Josh Werner and I'll be leading you through this courseHave you always wanted to learn how to code but don't know where to start? Would you like to make amazing websites and bring your ideas to life? Then Front End Web Development Ultimate Course 2022 is for you!Programming is the most in-demand skill in 2022. The course begins with the basics. I'll take you through everything you need to know to start building websites like an expert.We'll Cover HTML5, CSS3, JavaScript, jQuery, Bootstrap 4 and SVG from scratch.You'll learn all the fundamentals of Front-End Web Development and how you canUse them to start creating you own websites. The course is packed with over 98 hours of hands-on tutorialsHi, My name is Josh Werner with Learn Tech Plus and I have taken all of the guess work out for you as a student trying to learn Front End Web Development I have been where you are right now trying to learn on your own to master a new skill. Let me walk you through step by step to become a Front Web Developer Master.How would you like to Master Front Web Development by learning everything you need to know from A to Z. Then Front End Web Development Master Course for 2022 is for you!Here is What You Will Learn:IntroductionFirefox Developer Edition (Web Browser)Atom (Free Text Editor!)GitHub Basics (Cloud Base Storage for your Code!)HTML5 BasicsHTML5 Basics ProjectHTML5 AdvancedHTML5 Advanced ProjectCSS3 BasicsCSS3 Basics Project CSS3 AdvancedCSS3 Advanced ProjectJavaScript BasicsJavaScript Basics ProjectJavaScript AdvancedJavaScript Advanced ProjectjQuery BasicsjQuery Basics ProjectjQuery AdvancedjQuery Advanced ProjectSVG BasicsSVG Basics ProjectSVG AdvancedSVG Advanced ProjectSo what are you waiting for? I look forward to Going through course with you I'll see you inside!

Who this course is for
Beginner to Advanced Students wanting to Learn Front End Web Development

Code:

http://anonymz.com/?https://www.udemy.com/course/learn-front-end-development/

Code:

https://rapidgator.net/file/bce169aca9f603ab29f6f5ac8a8acdff/Front_End_Web_Development_Ultimate_Guide.part1.rar
https://rapidgator.net/file/cdf86b720448103066df51b05c78e49f/Front_End_Web_Development_Ultimate_Guide.part2.rar
https://rapidgator.net/file/22c4683ca0b67c96d87a703c854a8d93/Front_End_Web_Development_Ultimate_Guide.part3.rar
https://rapidgator.net/file/17ee12eccd4973829d517b1b3ec18344/Front_End_Web_Development_Ultimate_Guide.part4.rar
https://rapidgator.net/file/34c922b631bc2405ede7653a64d18d97/Front_End_Web_Development_Ultimate_Guide.part5.rar
https://rapidgator.net/file/f60ec83101f6dc7087eac0468e789577/Front_End_Web_Development_Ultimate_Guide.part6.rar
https://rapidgator.net/file/4f2c17f1342eb5118bd222c33269d058/Front_End_Web_Development_Ultimate_Guide.part7.rar
https://rapidgator.net/file/31c983aec93094e97e586079ea48a05e/Front_End_Web_Development_Ultimate_Guide.part8.rar

Code:

https://nitroflare.com/view/89725346BE10F4B/Front_End_Web_Development_Ultimate_Guide.part1.rar
https://nitroflare.com/view/9006AACB176E19D/Front_End_Web_Development_Ultimate_Guide.part2.rar
https://nitroflare.com/view/0F314E103E633EA/Front_End_Web_Development_Ultimate_Guide.part3.rar
https://nitroflare.com/view/9348563C9092C49/Front_End_Web_Development_Ultimate_Guide.part4.rar
https://nitroflare.com/view/6C119DA18BD772F/Front_End_Web_Development_Ultimate_Guide.part5.rar
https://nitroflare.com/view/9FE112FD6EBEE13/Front_End_Web_Development_Ultimate_Guide.part6.rar
https://nitroflare.com/view/B7742B667937941/Front_End_Web_Development_Ultimate_Guide.part7.rar
https://nitroflare.com/view/9C5766B35EDBDD2/Front_End_Web_Development_Ultimate_Guide.part8.rar

**Ajkula** · 10-08-2023, 10:27 PM

Learn problem solving with data structures and algorithms for cracking interviews of top product based companies

What you'll learn
Coding Interview Preparation
Data Structure & Algorithms
Coding Interview Problems
Coding Interview Algorithms

Requirements
Basic Programming Experience

Description
This course will help you crack coding rounds and whiteboard coding rounds for IT companies. This is the only course with a special focus on problem-solving and visualization apart from theory for the most common data structures.As a part of this course we will be covering each of the topics in two steps :1. First we will understand the theory for each of the data structure and problem-solving technique.2. Secondly, we will practice a lot of problems based on those topics. The goal is to build your thought process so that you are also able to solve new problems asked in interviews.The whole course consists of more than 120 lectures divided across 12+ sections with the content updated periodically to reflect the latest industry trends and problems. We are going to be covering multiple different data structures like Arrays, Linked List, Stacks, Queues, Hash Table, Deque, Binary Search Tree, Tree, Heaps, Graphs, Disjoint Set Data Structure etc.Apart from that, we are covering algorithms and problem-solving techniques like Binary search, binary search over range, binary search over partial sorted range, sliding window method, Two pointer method, greedy algorithms, dynamic programming, backtracking, bitmagic etc.With over 22 hours of content + working code samples in 3 languages (Python) , this is the biggest and the most comprehensive course you will ever find anywhere and will certainly help you in cracking interviews.With this course, you don't need anything else for interview preparation.

Who this course is for
People who want to study data structure & algorithms
People preparing for coding interviews

Code:

https://anonymz.com/?https://www.udemy.com/course/cracking-the-javascript-coding-interview-k/

Code:

https://rapidgator.net/file/3cb5725121645031b2615c05eba7d39a/Cracking_the_Javascript_Coding_Interview.part1.rar
https://rapidgator.net/file/9eeb2ee4868fdda52da8e69244d9d284/Cracking_the_Javascript_Coding_Interview.part2.rar
https://rapidgator.net/file/e7141104df88b253ebf361363576f076/Cracking_the_Javascript_Coding_Interview.part3.rar
https://rapidgator.net/file/d50a37dc4d1c600d331ab53e1f413b7d/Cracking_the_Javascript_Coding_Interview.part4.rar

Code:

https://nitroflare.com/view/180790BADF7067C/Cracking_the_Javascript_Coding_Interview.part1.rar
https://nitroflare.com/view/77D82B98F1BB398/Cracking_the_Javascript_Coding_Interview.part2.rar
https://nitroflare.com/view/7F88A2770B3F8EF/Cracking_the_Javascript_Coding_Interview.part3.rar
https://nitroflare.com/view/5F1430F68B855CC/Cracking_the_Javascript_Coding_Interview.part4.rar

**Ajkula** · 10-08-2023, 10:31 PM

2 In 1: Python Machine Learning Plus 30 Hour Python Bootcamp
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.17 GB | Duration: 44h 46m

Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++

What you'll learn
Define what Machine Learning does and its importance
Learn the different types of Descriptive Statistics
Apply and use Various Operations in Python
Explore the usage of Two Categories of Supervised Learning
Learn the difference of the Three Categories of Machine Learning
Understand the Role of Machine Learning
Explain the meaning of Probability and its importance
Define how Probability Process happen
Discuss the definition of Objectives and Data Gathering Step
Know the different concepts of Data Preparation and Data Exploratory Analysis Step
Define what is Supervised Learning
Differentiate Key Differences Between Supervised,Unsupervised,and Reinforced Learning
Explain the importance of Linear Regression
Learn the different types of Logistic Regression
Learn what is an Integrated Development Environment and its importance
Understand the factors why Developers use Integrated Development Environment
Learn the most important factors on How to Perform Addition operation and close Jupyter Notebook
Discuss Arithmetic Operation in Python
Identify the different Types of Built-in-Data Types in Python
Learn the most important considerations of Dictionaries-Built-in Data types
Explain the usage of Operations in Python and its importance
Understand the importance of Logical Operators
Define the different types of Controlled Statements
Be able to create and write a program to find maximum number
Differentiate the different types of range functions in Python
Explain what is Statistics, Probability and key concepts
Introduction to Python
Date and Time in Python
Sets and Trigonometry
Logarithmic in Python
Arrays in Python
Round off, and Complex Numbers
Strings in Python
Strings, ord, and chr
Lists in Python
Tuples in Python
Multiple Sequences
Loops and List in Python
Appending Sequences
Comprehension in Python
List, Item and Iterators
Zip and Attributes in Python
Mapping in Python
dir Attributes
Zip and Map Operator
Printing Dictionaries Items
Arguments and Functions in Python
Sequences in Python
Defining Functions
Changer Function
def in Python
Knownly Type of a Function
def Statementdef Statement
String Code, and Sum Tree
Sum Tree
Echo and Lambda Function
Schedule Function
def and Reducing Function in Python
for and if in Range
def Saver and ASCII, and Exception
Get Attributes and Decorator in Python
Turtle and Compilation
Logging and HTTP
Make Calculator
Binary Numbers in Python
Countdown Time in Python
Size and Path of a File
Data Visualization
Pandas Library
Encoding and Decoding in Python
Shelve in Python

Requirements
No technical knowledge or experience is required to get going in this course
A basic understanding of the importance of data science will be useful
Laptop, or Computer, or Mobile
Internet Connection

Description
Course 1: Python Machine Learning > Section 1 - Section 68Course 2: Python Bootcamp 30 Hours Of Step By Step > Section 69 - 94Everything you get with this 2 in 1 course:234-page Machine Learning workbook containing all the reference material44 hours of clear and concise step by step instructions, practical lessons and engagement25 Python coding files so you can download and follow along in the bootcamp to enhance your learning35 quizzes and knowledge checks at various stages to test your learning and confirm your growthIntroduce yourself to our community of students in this course and tell us your goalsEncouragement & celebration of your progress: 25%, 50%, 75% and then 100% when you get your certificateThis course will help you develop Machine Learning skills for solving real-life problems in the new digital world. Machine Learning combines computer science and statistics to analyze raw real-time data, identify trends, and make predictions. The participants will explore key techniques and tools to build Machine Learning solutions for businesses. You don t need to have any technical knowledge to learn this skill.What will you learn:Define what Machine Learning does and its importanceUnderstand the Role of Machine LearningExplain what is StatisticsLearn the different types of Descriptive StatisticsExplain the meaning of Probability and its importanceDefine how Probability Process happensDiscuss the definition of Objectives and Data Gathering StepKnow the different concepts of Data Preparation and Data Exploratory Analysis StepDefine what is Supervised LearningDifferentiate Key Differences Between Supervised, Unsupervised, and Reinforced LearningLearn the difference between the Three Categories of Machine LearningExplore the usage of Two Categories of Supervised LearningExplain the importance of Linear RegressionLearn the different types of Logistic RegressionLearn what is an Integrated Development Environment and its importanceUnderstand the factors why Developers use Integrated Development EnvironmentLearn the most important factors on How to Perform Addition operations and close the Jupyter NotebookApply and use Various Operations in PythonDiscuss Arithmetic Operation in PythonIdentify the different types of Built-in-Data Types in PythonLearn the most important considerations of Dictionaries-Built-in Data typesExplain the usage of Operations in Python and its importanceUnderstand the importance of Logical OperatorsDefine the different types of Controlled StatementsBe able to create and write a program to find the maximum number...and more!Contents and OverviewYou'll start with the History of Machine Learning; Difference Between Traditional Programming and Machine Learning; What does Machine Learning do; Definition of Machine Learning; Apply Apple Sorting Example Experiences; Role of Machine Learning; Machine Learning Key Terms; Basic Terminologies of Statistics; Descriptive Statistics-Types of Statistics; Types of Descriptive Statistics; What is Inferential Statistics; What is Analysis and its types; Probability and Real-life Examples; How Probability is a Process; Views of Probability; Base Theory of Probability.Then you will learn about Defining Objectives and Data Gathering Step; Data Preparation and Data Exploratory Analysis Step; Building a Machine Learning Model and Model Evaluation; Prediction Step in the Machine Learning Process; How can a machine solve a problem-Lecture overview; What is Supervised Learning; What is Unsupervised Learning; What is Reinforced Learning; Key Differences Between Supervised,Unsupervised and Reinforced Learning; Three Categories of Machine Learning; What is Regression, Classification and Clustering; Two Categories of Supervised Learning; Category of Unsupervised Learning; Comparison of Regression , Classification and Clustering; What is Linear Regression; Advantages and Disadvantages of Linear Regression; Limitations of Linear Regression; What is Logistic Regression; Comparison of Linear Regression and Logistic Regression; Types of Logistic Regression; Advantages and Disadvantages of Logistic Regression; Limitations of Logistic Regression; What is Decision tree and its importance in Machine learning; Advantages and Disadvantages of Decision Tree.We will also cover What is Integrated Development Environment; Parts of Integrated Development Environment; Why Developers Use Integrated Development Environment; Which IDE is used for Machine Learning; What are Open Source IDE; What is Python; Best IDE for Machine Learning along with Python; Anaconda Distribution Platform and Jupyter IDE; Three Important Tabs in Jupyter; Creating new Folder and Notebook in Jupyter; Creating Three Variables in Notebook; How to Check Available Variables in Notebook; How to Perform Addition operation and Close Jupyter Notebook; How to Avoid Errors in Jupyter Notebook; History of Python; Applications of Python; What is Variable-Fundamentals of Python; Rules for Naming Variables in Python; DataTypes in Python; Arithmetic Operation in Python; Various Operations in Python; Comparison Operation in Python; Logical Operations in Python; Identity Operation in Python; Membership Operation in Python; Bitwise Operation in Python; Data Types in Python; Operators in Python; Control Statements in Python; Libraries in Python; Libraries in Python; What is Scipy library; What is Pandas Library; What is Statsmodel and its features;This course will also tackle Data Visualisation & Scikit Learn; What is Data Visualization; Matplotib Library; Seaborn Library; Scikit-learn Library; What is Dataset; Components of Dataset; Data Collection & Preparation; What is Meant by Data Collection; Understanding Data; Exploratory Data Analysis; Methods of Exploratory Data Analysis; Data Pre-Processing; Categorical Variables; Data Pre-processing Techniques.This course will also discuss What is Linear Regression and its Use Case; Dataset For Linear Regression; Import library and Load Data set- steps of linear regression; Remove the Index Column-Steps of Linear Regression; Exploring Relationship between Predictors and Response; Pairplot method explanation; Corr and Heatmap method explanation; Creating Simple Linear Regression Model; Interpreting Model Coefficients; Making Predictions with our Model; Model Evaluation Metric; Implementation of Linear Regression-lecture overview; Uploading the Dataset in Jupyter Notebook; Importing Libraries and Load Dataset into Dataframe; Remove the Index Column; Exploratory Analysis -relation of predictor and response; Creation of Linear Regression Model; Model Coefficients; Making Predictions; Evaluation of Model Performance.Next, you will learn about Model Evaluation Metrics and Logistic Regression - Diabetes Model.Who are the Instructors?Samidha Kurle from Digital Regenesys is your lead instructor a professional making a living from her teaching skills with expertise in Machine Learning. She has joined with content creator Peter Alkema to bring you this amazing new course.You'll get premium support and feedback to help you become more confident with finance!Our happiness guarantee...We have a 30-day 100% money-back guarantee, so if you aren't happy with your purchase, we will refund your course - no questions asked!We can't wait to see you on the course!Enrol now, and master Machine Learning!Peter and Samidha

Overview
Section 1: Introduction

Lecture 1 Python Machine Learning - Introduction

Lecture 2 Course Overview On A Wipeboard: Mindmap Of Machine Learning In Python

Lecture 3 Introduce Yourself to Your Fellow Students And Tell Everyone What are Your Goals

Lecture 4 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!

Lecture 5 Preview & Download The 234 Page Machine Learning Workbook You Get In This Course

Section 2: Introduction to Machine Learning

Lecture 6 Introduction of Instructor

Lecture 7 Machine Learning Lecture Outline

Lecture 8 Understanding of Thinking and Learning Process in Humans

Lecture 9 How Humans Think and Why we Need Machine Learning

Lecture 10 History of Machine Learning

Lecture 11 Difference Between Traditional Programming and Machine Learning

Lecture 12 Machine Learning Example

Section 3: Knowledge Check 1

Section 4: What Is Machine Learning

Lecture 13 What does Machine Learning do

Lecture 14 Definition of Machine Learning

Lecture 15 Apply Apple Sorting Example Experiences

Lecture 16 Role of Machine Learning

Lecture 17 Machine Learning Key Terms

Section 5: Knowledge Check 2

Section 6: Statistics

Lecture 18 What is Statistics

Lecture 19 Basic Terminologies of Statistics

Lecture 20 Descriptive Statistics-Types of Statistics

Lecture 21 Types of Descriptive Statistics

Lecture 22 What is Inferential Statistics

Lecture 23 What is Analysis and its types

Section 7: Knowledge Check 3

Section 8: Probability

Lecture 24 Introduction to Probability

Lecture 25 Probability and Real life Examples

Lecture 26 What is Probability

Lecture 27 How Probability is a Process

Lecture 28 Calculate Probability of an Event-Example

Lecture 29 Probability of One Fair Six-Sided Die-Example

Lecture 30 Views of Probability

Lecture 31 Base Theory of Probability

Lecture 32 Rain chances on a picnic day-Probability Example

Section 9: Knowledge Check 4

Section 10: Machine Learning Quiz 1

Section 11: Machine Learning Process

Lecture 33 Defining Objectives and Data Gathering Step

Lecture 34 Data Preparation and Data Exploratory Analysis Step

Lecture 35 Building a Machine Learning Model and Model Evaluation

Lecture 36 Prediction Step in the Machine Learning Process

Section 12: Knowledge Check 5

Section 13: Types of Machine Learning

Lecture 37 How can a machine solve a problem-Lecture overview

Lecture 38 What is Supervised Learning

Lecture 39 What is Unsupervised Learning

Lecture 40 What is Reinforced Learning

Lecture 41 Key Differences Between Supervised,Unsupervised and Reinforced Learning

Section 14: Knowledge Check 6

Section 15: Machine Learning Algorithms Part 1

Lecture 42 Three Categories of Machine Learning

Lecture 43 What is Regression, Classification and Clustering

Lecture 44 Two Categories of Supervised Learning

Lecture 45 Category of Unsupervised Learning

Lecture 46 Comparison of Regression , Classification and Clustering

Section 16: Knowledge Check 7

Section 17: Machine Learning Algorithms Part 2

Lecture 47 What is Linear Regression

Lecture 48 Advantages and Disadvantages of Linear Regression

Lecture 49 Limitations of Linear Regression

Lecture 50 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>

Lecture 51 What is Logistic Regression

Lecture 52 Comparison of Linear Regression and Logistic Regression

Lecture 53 Types of Logistic Regression

Lecture 54 Advantages and Disadvantages of Logistic Regression

Lecture 55 Limitations of Logistic Regression

Lecture 56 What is Decision tree and its importance in Machine learning

Lecture 57 Advantages and Disadvantages of Decision Tree

Section 18: Knowledge Check 8

Section 19: Machine Learning Algorithms Part 3

Lecture 58 Machine Learning Algorithms Part 3

Section 20: Knowledge Check 9

Section 21: Machine Learning Quiz 2

Section 22: Model Building Platform

Lecture 59 What is Integrated Development Environment

Lecture 60 Parts of Integrated Development Environment

Lecture 61 Why Developers Use Integrated Development Environment

Lecture 62 Which IDE is used for Machine Learning

Lecture 63 What are Open Source IDE

Lecture 64 What is Python

Lecture 65 Best IDE for Machine Learning along with Python

Lecture 66 Anaconda Distribution Platform and Jupyter IDE

Section 23: Knowledge Check 10

Section 24: Jupyter Notebook

Lecture 67 Three Important Tabs in Jupyter

Lecture 68 Creating new Folder and Notebook in Jupyter

Lecture 69 Creating Three Variables in Notebook

Lecture 70 How to Check Available Variables in Notebook

Lecture 71 How to Perform Addition operation and Close Jupyter Notebook

Lecture 72 How to Avoid Errors in Jupyter Notebook

Section 25: Knowledge Check 11

Section 26: Python Insights

Lecture 73 History of Python

Lecture 74 Applications of Python

Lecture 75 What is Variable-Fundamentals of Python

Lecture 76 Rules for Naming Variables in Python

Lecture 77 Types of Data in Python

Lecture 78 Operations in Python

Lecture 79 Arithmetic Operation in Python

Lecture 80 Assignment Operation in Python

Lecture 81 Comparison Operation in Python

Lecture 82 Logical Operations in Python

Lecture 83 Identity Operation in Python

Lecture 84 Membership Operation in Python

Lecture 85 Bitwise Operation in Python

Section 27: Knowledge Check 12

Section 28: Data Types in Python

Lecture 86 What is Variable

Lecture 87 Program to find out Data Types of Variables

Lecture 88 Boolean Data in Python

Lecture 89 Built-in Data in Python

Lecture 90 Lists-Built-in Data Type

Lecture 91 Tuples-Built-in Data Type

Lecture 92 Sets-Built-in Data Types

Lecture 93 Dictionaries-Built-in Data Types

Section 29: Knowledge Check 13

Section 30: Operators in Python

Lecture 94 Use of Operators in Python

Lecture 95 Arithmetic Operators

Lecture 96 Assignment Operator

Lecture 97 Comparison Operator

Lecture 98 Logical Operators

Lecture 99 Identity Operator

Lecture 100 Membership Operator

Lecture 101 Bitwise Operator

Lecture 102 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>

Section 31: Knowledge Check 14

Section 32: Control Statements in Python

Lecture 103 Types of Controlled Statements

Lecture 104 Use of IF Statement-Example 1

Lecture 105 Write a Program to find maximum number-Example 2

Lecture 106 How to Make code Efficient-Example 3

Lecture 107 Where to Use IF Statement

Section 33: Knowledge Check 15

Section 34: Libraries in Python

Lecture 108 What is Numpy and its use

Lecture 109 What is Scipy library

Lecture 110 What is Pandas Library

Lecture 111 What is Statsmodel and its features

Section 35: Knowledge Check 16

Section 36: NumPy Part 1

Lecture 112 What is an Array and its Example

Lecture 113 How to Access specific element of an Array

Lecture 114 Slicing Array

Lecture 115 How to know Number of Elements in Dimension of an array

Lecture 116 How to Join Two Arrays in a Single Array

Section 37: Knowledge Check 17

Section 38: NumPy Part 2

Lecture 117 Arithmetic Functions-Overview

Lecture 118 Add Method in Arithmetic Functions of Python

Lecture 119 Subtract,Multiply,Divide Methods in Arithmetic Functions

Lecture 120 MOD Method in Arithmetic Functions

Lecture 121 Remainder Method in Arithmetic Functions

Lecture 122 Power Method in Arithmetic Functions

Lecture 123 Reciprocal Method in Arithmetic Functions

Lecture 124 Creating two Dimensional Array for Arithmetic Functions

Lecture 125 Statistical Functions-overview

Lecture 126 Statistical Functions Implementation in Python

Lecture 127 Creation of Weighted Array

Lecture 128 Creating Two Dimensional Array with Statistical Functions

Section 39: Knowledge Check 18

Section 40: Pandas Part 1

Lecture 129 Import Libraries for Panda Project

Lecture 130 Create a Series from an Array

Lecture 131 Create Series from Dictionaries

Lecture 132 How to access elements from series

Lecture 133 Create a DataFrame Datastructure

Section 41: Knowledge Check 19

Section 42: Pandas Part 2

Lecture 134 Functions of pandas-pandas 2

Lecture 135 Pandas Attributes Example

Lecture 136 Head and Tail Method in Pandas

Lecture 137 Create a DataFrame Student including all Panda Functionality

Lecture 138 Descriptive Statistics Functions in Pandas

Section 43: Knowledge Check 20

Section 44: Pandas Part 3

Lecture 139 Create Jupyter Notebook and Load Dataset into it

Lecture 140 Loading Dataset into DataFrame

Lecture 141 How to find Missing Values in Dataset

Lecture 142 How to Handle Missing Values in Dataset

Section 45: Knowledge Check 21

Section 46: Data Visualisation & Scikit Learn

Lecture 143 What is Data Visualization

Lecture 144 Matplotib Library

Lecture 145 Seaborn Library

Lecture 146 Scikit-learn Library

Lecture 147 What is Dataset

Lecture 148 Components of Dataset

Section 47: Knowledge Check 22

Section 48: Matplotlib Part 1

Lecture 149 Overview of Matplotlib

Lecture 150 How to Create a Simple Plot

Lecture 151 How to Create a Graph with Multiple Points

Lecture 152 Marker on graphs

Lecture 153 Linestyle on graph

Lecture 154 How to Draw Multiple Lines on a Graph

Lecture 155 How to Draw Labels on plot

Lecture 156 How to create multiple Subplots on same canvas

Lecture 157 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >>

Section 49: Knowledge Check 23

Section 50: Matplotlib Part 2

Lecture 158 Number of Plots in Matplotib-overview

Lecture 159 What is Bargraph and why we need it

Lecture 160 What is Histogram

Lecture 161 What is Scatter Plot and Why we need it

Lecture 162 What is Pie Chart

Section 51: Knowledge Check 24

Section 52: Python Coding - Seaborn Part 1

Lecture 163 What is Seaborn library

Lecture 164 How to import in-built datasets from seaborn

Lecture 165 Which datasets are available in seaborn

Lecture 166 Load Dataset from seaborn

Lecture 167 Themes and Styling in Seaborn

Lecture 168 How to change theme of plot

Lecture 169 Set context method in plot

Lecture 170 Color Pallets in plot

Section 53: Knowledge Check 25

Section 54: Python Coding - Seaborn Part 2

Lecture 171 Various Plots in Seaborn-lecture overview

Lecture 172 Relplot in Seaborn

Lecture 173 Catplot in Seaborn

Lecture 174 Ditplot in Seaborn

Lecture 175 Pairplot in Seaborn

Section 55: Knowledge Check 26

Section 56: Machine Learning Quiz 3

Section 57: Data Collection & Preparation

Lecture 176 What is Meant by Data Collection

Lecture 177 Understanding Data

Lecture 178 Exploratory Data Analysis

Lecture 179 Methods of Exploratory Data Analysis

Lecture 180 Data Pre-Processing

Lecture 181 Categorical Variables

Lecture 182 Data Pre-processing Techniques

Section 58: Knowledge Check 27

Section 59: Linear Regression - Use Case

Lecture 183 What is Linear Regression and its Use Case

Lecture 184 Dataset For Linear Regression

Lecture 185 Import library and Load Data set- steps of linear regression

Lecture 186 Remove the Index Column-Steps of Linear Regression

Lecture 187 Exploring Relationship between Predictors and Response

Lecture 188 Pairplot method explanation

Lecture 189 Corr and Heatmap method explanation

Lecture 190 Creating Simple Linear Regression Model

Lecture 191 Interpreting Model Coefficients

Lecture 192 Making Predictions with our Model

Lecture 193 Model Evaluation Metric

Section 60: Knowledge Check 28

Section 61: Linear Regression with Python

Lecture 194 Implementation of Linear Regression-lecture overview

Lecture 195 Uploading the Dataset in Jupyter Notebook

Lecture 196 Importing Libraries and Load Dataset into Dataframe

Lecture 197 Remove the Index Column

Lecture 198 Exploratory Analysis -relation of predictor and response

Lecture 199 Creation of Linear Regression Model

Lecture 200 Model Coefficients

Lecture 201 Making Predictions

Lecture 202 Evaluation of Model Performance

Section 62: Knowledge Check 29

Section 63: Model Evaluation Metrics

Lecture 203 Machine Learning Model Building

Lecture 204 What are Evaluation Metrics

Lecture 205 Different Kinds of Evaluation Metric

Lecture 206 Confusion Metric

Lecture 207 Accuracy

Lecture 208 Precision

Lecture 209 Recall

Lecture 210 What is F1 Score

Lecture 211 Classification Report

Section 64: Knowledge Check 30

Section 65: Logistic Regression - DIabetes Model

Lecture 212 Importing Libraries for Logistic Regression

Lecture 213 Load the dataset for logistic regression

Lecture 214 Creation of Logistics Regression Model

Lecture 215 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!!

Section 66: Knowledge Check 31

Section 67: Machine Learning Quiz 4

Section 68: Additional Data Science Insights: Lessons From A Live Webinar Interview

Lecture 216 introduction of the guest speaker

Lecture 217 Perspective on other courses as one on data science and other courses

Lecture 218 Basic level of understanding about machines

Lecture 219 Pairing with physics and statistical major is good foundation for data science

Lecture 220 Having an overview on machine learning and the course

Lecture 221 Statistics on data science

Lecture 222 Learn how could data science be part on marketing

Lecture 223 Which do you find more comfortable for automation, Phython or UiPath

Lecture 224 Thoughts and overview on the Python course

Lecture 225 Can data science help predict the stock price?

Lecture 226 Can phyton be used to sort through the data

Lecture 227 How does statistics relate to data science and it is used in business

Lecture 228 Game theory that are involved, and its application to the field of data scienc

Lecture 229 Education and games thoughts on the course

Lecture 230 Full 1 Hour Live Data Science Webinar With Terence Govender from Regenesys

Section 69: Python Bootcamp - Introduction

Lecture 231 Introduction

Lecture 232 Download All Your Coding Files

Lecture 233 Introduce Yourself To Your Fellow Students And Tell Everyone What Are Your Goals

Lecture 234 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!

Section 70: Introduction to Python

Lecture 235 Hello World Coding in Python

Lecture 236 Printing Variables in Python

Lecture 237 Strings, Floating Points, and Digits in Python

Lecture 238 Printing Variables in Python

Lecture 239 Inserting, Removing, and Pop Up of Variables in Python

Section 71: Date and Time in Python

Lecture 240 Printing Date and Time in Python

Lecture 241 Import and From Date Time in Python

Lecture 242 Printing Current Date Time in Python

Lecture 243 Printing Current Year in Python

Lecture 244 Hours, Minutes, and Seconds in Python

Lecture 245 Microseconds in Python

Lecture 246 Time stamp in Python

Lecture 247 Time Difference in Python

Lecture 248 Time Delta in Python

Lecture 249 Time Delta in Python 2

Lecture 250 Trigonometry in Python

Lecture 251 Now Date and Time in Python

Section 72: Sets, Trigonometry, Logarithmic in Python

Lecture 252 Intersection and Union of Sets in Python

Lecture 253 Difference of Sets in Python

Lecture 254 True and False in Sets Using Python

Lecture 255 Adding and Removing Elements in Sets

Lecture 256 Code for Intersection and Union in Python

Lecture 257 Element in Sets

Lecture 258 Math and CMath

Lecture 259 Logarithmic and Mod Operators

Lecture 260 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>

Lecture 261 Bitwise Operators in Python

Lecture 262 Binary into Decimals in Python

Lecture 263 Binary into Integers

Lecture 264 Multiple Variables in Python

Lecture 265 True and False Statement in Python

Section 73: Arrays in Python

Lecture 266 Arrays in Python

Lecture 267 Inserting Elements in Array

Lecture 268 Pop Up Arrays

Lecture 269 Index and Reverse Arrays

Lecture 270 Finding Error in Codes: Assignment

Section 74: Round off, Trigonometry, and Complex Numbers in Python

Lecture 271 Round off and Truncation

Lecture 272 Degrees into Radians and Radians into Degrees Using Python

Lecture 273 Positive and Negative Infinity in Python

Lecture 274 Not a Number Coding in Python

Lecture 275 Complex Numbers Coding in Python

Section 75: Strings in Python

Lecture 276 Printing Strings in Python

Lecture 277 Counting in Strings

Lecture 278 Open a File in Python

Lecture 279 Printing Multiple Strings in Python

Lecture 280 Strings True and False in Python

Lecture 281 Slicing and Indexing in Strings

Section 76: Strings, ord, chr, and Binary Numbers in Python

Lecture 282 Strings and Integers

Lecture 283 ord and chr Tools in Python

Lecture 284 Int and Binary Numbers in Python

Section 77: Lists and Dictionaries in Python

Lecture 285 Lists in Python

Lecture 286 Adding Strings in Lists

Lecture 287 Pop Up and Removing Strings in Lists

Lecture 288 Assignment Code

Lecture 289 Dictionaries in Python

Lecture 290 Lists and Dictionaries

Section 78: Tuples in Python

Lecture 291 Tuples in Python

Lecture 292 Lists into Tuples

Lecture 293 Why Lists and Tuples in Python

Lecture 294 Data File in Python

Section 79: Tuples and Sequences

Lecture 295 Assigning Tuples

Lecture 296 Strings

Lecture 297 Tuples into Lists

Lecture 298 Sequences in Python

Lecture 299 Multiple Sequences

Section 80: Loops, Sequences and List in Python

Lecture 300 Tuples into Loops

Lecture 301 Strings and Tuples

Lecture 302 Sequences into Loops

Lecture 303 List into Loop

Lecture 304 Item into Loop

Lecture 305 Appending Sequences

Section 81: Dictionaries and Comprehension in Python

Lecture 306 Range and List

Lecture 307 Dictionaries into Tuples

Lecture 308 Enumerator Functions

Lecture 309 List, Item and Iterators

Lecture 310 List Comprehension

Lecture 311 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>

Section 82: Mapping, Zip and Attributes in Python

Lecture 312 Mapping in Python

Lecture 313 Zip and Map Operator

Lecture 314 Printing Dictionaries Items

Lecture 315 dir Attributes

Lecture 316 dir Attributes 2

Section 83: Arguments and Functions in Python

Lecture 317 Arguments

Lecture 318 Sequences and Arguments

Lecture 319 Intersection of Sequences

Lecture 320 Defining Functions

Lecture 321 Multiple Functions

Section 84: Argument, Defining Functions, and def in Python

Lecture 322 Changer Function

Lecture 323 Argument Functions

Lecture 324 Multiple Arguments and Functions

Lecture 325 Knownly Type of a Function

Lecture 326 Printing Tuples Using Functions

Lecture 327 def Statement

Section 85: Argument, String Code, and Sum Tree

Lecture 328 Min and MAX of Argument

Lecture 329 Assignment

Lecture 330 String Code

Lecture 331 Finding Sum of List

Lecture 332 Sum Tree

Section 86: Echo and Lambda Function

Lecture 333 Echo Function

Lecture 334 Schedule Function

Lecture 335 Printing a Function Value

Lecture 336 Lambda Function

Lecture 337 Multiple Lambda Function

Lecture 338 Lambda Function with Multiple Functions

Section 87: Lambda and Generating Function

Lecture 339 Lambda Function: Code Example

Lecture 340 Lambda Function: Code Example

Lecture 341 Range and Tuples

Lecture 342 Matrices in Python

Lecture 343 Generating a Function in Python

Lecture 344 Generating a Function: Code Example

Lecture 345 Set of Codes

Section 88: def and Reducing Function in Python

Lecture 346 def of Sum and Square

Lecture 347 Reducing Code in Python

Lecture 348 Function Reducing Tool

Lecture 349 for and if in Range

Lecture 350 res.append in Python

Lecture 351 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >>

Section 89: def Saver, ASCII, Exception, Encoding and Decoding in Python

Lecture 352 def Saver

Lecture 353 Python Module

Lecture 354 isinstance for String and Object

Lecture 355 def fetcher in Python

Lecture 356 Exception in Python

Lecture 357 ASII in Python

Lecture 358 encoding and decoding in Python

Lecture 359 encoding and decoding Lecture 2

Lecture 360 encoding and decoding Lecture 3

Lecture 361 encoding and decoding Lecture 4

Section 90: Get Attributes and Decorator in Python

Lecture 362 getName Coding

Lecture 363 GetAtrr in Python

Lecture 364 GetAtrribute in Python

Lecture 365 Decorator in Python

Lecture 366 Nested Decorator

Lecture 367 Annotation and Decorator

Lecture 368 functools for Decorator

Lecture 369 inspectfunc tool in Python

Section 91: Turtle, Pandas, Compilation, and Data Visualization

Lecture 370 Class Method in Python

Lecture 371 Turtle, Time and Random

Lecture 372 Pandas Library Code

Lecture 373 Compilation in Python

Lecture 374 Data Visualization in Matplotlib

Lecture 375 Scattering: Data Visualization

Lecture 376 Enumerator Function

Section 92: Logging, Data Visualization, and HTTP

Lecture 377 Plotly in MATPLOTLIB

Lecture 378 Plot: Data Visualization

Lecture 379 Logging and Exception

Lecture 380 Printing Vowels

Lecture 381 Map and Operator

Lecture 382 HTTP Server: Practical Python

Lecture 383 Socket Library for HTTP Server

Section 93: Make Calculator, Countdown Time, Size and Path of a File

Lecture 384 Tree Coding

Lecture 385 Tree Coding Lecture 2

Lecture 386 Name and Size of a File

Lecture 387 Countdown Time: Practical Python

Lecture 388 Make a Calculator: Practical Python

Section 94: PyAudio, DataFrame, More Pandas Library & Create a Leap Year

Lecture 389 Leap Year in Python

Lecture 390 PyAudio Lecture 1

Lecture 391 PyAudio Lecture 2

Lecture 392 Creating a Shelve in Python

Lecture 393 Pandas Library: DataFrame

Lecture 394 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!!

Anyone interested in the field of Machine Learning and key concepts,People who want to understand ML and build models in Python,For those who have interest in Python,For those who want to build their career in programming languages like python

Code:

https://anonymz.com/?https://www.udemy.com/course/machine-learning-in-python/

Code:

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https://rapidgator.net/file/cdbe490ac91c5f53847986512ecc3b46/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part2.rar
https://rapidgator.net/file/98b157e87d7636ece34dda4f55e6a091/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part3.rar

Code:

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https://nitroflare.com/view/3BBBD8E05B4A9AB/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part3.rar

**Ajkula** · 10-08-2023, 10:34 PM

Create Tinder Clone Using Flutter
Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.01 GB | Duration: 21h 2m

Build Mobile Application Like Tinder With Flutter

What you'll learn
Create Tinder Clone Using Flutter
How to display people accounts
How to swipe
How to send messages to people you like

Requirements
Windows or Mac
Good Internet connection
Basic programming skills

Description
This courses will teach you How to Build an Tinder App Using Flutter.Flutter is one of the best frameworks to use for building apps on android and iOS. In this course, I'm going to take you on a trip to learn flutter by building tinder app. I'm going to start by showing you how to install Flutter all the way to the end where you will have create a complete app. So by the end of this course you will have built an Tinder app. Flutter is getting popular every day and by learning Flutter you are preparing yourself to find a job in tech in one of the best tech company in the world. Why should you take this course?There are many reasons why this course is extremely important.First and most prominently is that you will learn how to build an tinder app.Secondly you will improve your java skills by creating a complete project.Third you can highlight this particular skill in your CV which would potentially make you stand out from the crowd. What you will learn in this course?1. How to install Flutter.2. How to get started with Flutter..3. How to swipe.4. How to send messages.5. And much more...

Overview
Section 1: Course Content

Lecture 1 Introduction

Lecture 2 Install Flutter

Lecture 3 Project files

Lecture 4 Three

Lecture 5 Four

Lecture 6 Five

Lecture 7 Six

Lecture 8 7_seven

Lecture 9 8_eight

Lecture 10 9_nine

Lecture 11 10_ten

Lecture 12 11_eleven

Lecture 13 12_twelve

Lecture 14 13_thirteen

Lecture 15 14_fourteen

Lecture 16 15_fifteen

Lecture 17 16_sixteen

Lecture 18 17_seventeen

Lecture 19 18_eighteen

Lecture 20 19_nineteen

Lecture 21 20_twenty

Lecture 22 21_twenty_one

Lecture 23 22_twenty_two

Lecture 24 23_twenty_three

Lecture 25 24_twenty_four

Lecture 26 25_twenty_five

Lecture 27 26_twenty_six

Lecture 28 27_twenty_Seven

Lecture 29 28_twenty_eight

Lecture 30 29_twenty_nine

Lecture 31 30_thirty

Lecture 32 31_thirty_one

Lecture 33 32_thirty_two

Lecture 34 33_thirty_three

Lecture 35 34_thirty_four

Lecture 36 35_thirty_five

Lecture 37 36_thirty_six

Lecture 38 37_thirty_seven

Lecture 39 38_thirty_eight

Lecture 40 39_thirty_nine

Lecture 41 40_forty

Lecture 42 41_forty_one

Lecture 43 42_forty_two

Lecture 44 43_forty_three

Lecture 45 44_forty_for

Section 2: Project files

Lecture 46 Project files

Mobile App Developers

Code:

https://anonymz.com/?https://www.udemy.com/course/create-tinder-clone-using-flutter/

Code:

https://rapidgator.net/file/bd107ef0f677dcc7974814beb1de1955/Create_Tinder_Clone_Using_Flutter.part1.rar
https://rapidgator.net/file/fbd6e344f6f9ae83b39584306210194b/Create_Tinder_Clone_Using_Flutter.part2.rar
https://rapidgator.net/file/10140f4e006bafe59560e668c57abee2/Create_Tinder_Clone_Using_Flutter.part3.rar

Code:

https://nitroflare.com/view/D4535FBA3B28440/Create_Tinder_Clone_Using_Flutter.part1.rar
https://nitroflare.com/view/CB8B6EB20745B38/Create_Tinder_Clone_Using_Flutter.part2.rar
https://nitroflare.com/view/1B61148493BBE6C/Create_Tinder_Clone_Using_Flutter.part3.rar

**Ajkula** · 10-08-2023, 10:37 PM

Build & Deploy High Performance, Accessible, Server Side Rendered Web Apps that Work Even with JavaScript Disabled.

What you'll learn
Learn everything about Svelte from Scratch.
Learn everything about SvelteKit.
Use SvelteKit to create a high performance web application.
Create applications that work without JavaScript enabled.

Requirements
JavaScript Knowledge is Required.
Basic TypeScript Knowledge is Preferred.

Description
Svelte is a JavaScript framework that allows you to build state driven components. However what makes Svelte different from other frameworks like Angular, React and Vue; is that Svelte is a compiler. Svelte runs at build time. Which means your Svelte code will be compiled at build time into highly efficient imperative code that runs on the browser to carry out DOM operations. Other famous frameworks usually use a technique called the virtual DOM to decide how to update the DOM. This technique runs in the browser during run time. And that adds more overhead to the DOM calculations.In this course we are going to learn everything about Svelte from scratch. We will start with the basics by creating simple components. And then gradually progress and create more complex components. And while Svelte is a great tool to build components for the web, it's not an easy task to build an entire application with just Svelte. That's why we have SvelteKit. SvelteKit is a framework for rapid development of robust, performant web applications. SvelteKit provides us out of the box with things like routing, server side rendering, pre-rendering and more. It provides us with a structure that we can follow to build high performance applications that are server side rendered and progressively enhanced.In this course we are going to learn everything about SvelteKit. We are going to discuss pages and layouts, loading data, hooks, error handling, environment variables, pre-rendering, progressively enhanced form actions and more.[COMING SOON]Finally we are going to bring everything together by building a Spotify clone with Svelte, SvelteKit and the Spotify API. Bringing together all the knowledge that we have learned during the course. This is section will be added later, you can check a demo of the app that we are going to build in the free videos.So join now if you want to build high performance web applications with Svelte & SvelteKit!

Who this course is for
JavaScript/Front-end developers willing to learn everything about building web components with Svelte.
JavaScript/Front-end developers looking to build a high performance, server side rendered application with SvelteKit.

Code:

https://anonymz.com/?https://www.udemy.com/course/svelte-and-sveltekit/

Code:

https://rapidgator.net/file/0a32b6c2124bd7ccc46b940a68138111/Svelte__SvelteKit_The_Complete_Guide.part1.rar
https://rapidgator.net/file/d6c850158d5595827d0427529d4be4f6/Svelte__SvelteKit_The_Complete_Guide.part2.rar
https://rapidgator.net/file/bf1e948a8a1c2e215ee97cb8493f24e6/Svelte__SvelteKit_The_Complete_Guide.part3.rar

Code:

https://nitroflare.com/view/DDC180B41E699E4/Svelte__SvelteKit_The_Complete_Guide.part1.rar
https://nitroflare.com/view/F7239508C084133/Svelte__SvelteKit_The_Complete_Guide.part2.rar
https://nitroflare.com/view/71A1127F499ADE9/Svelte__SvelteKit_The_Complete_Guide.part3.rar

**Ajkula** · 10-08-2023, 10:40 PM

Path way to bootstrap pro

What you'll learn
Ability to setup bootstrap using CND and source code
Able to building modern project
Have capacity to become freelanser
Start taking on clients

Requirements
Basics knowledge on operating Desktop or Laptop
Have knowledge on HTML and CSS
Basics or no prior knowledge on JavaScript
Using the web browser to source for information

Description
What we shall be covering in the bootstrap course are:+ Typography+ Utilities+ Layout in Bootstrap+ CSS Flexbox+ Bootstrap Form + Bootstrap Grid System+ Bootstrap Components+ Project 1 - Bicycle+ Project 2 -gallery+ Project 3 - sales+ Project 4 - dashboardIf you want to learn how to create modern, great looking and nicely designed websites, then this is the right class for you. Welcome to the complete Bootstrap 5.2.1 course.The course is project-based because we think that creating projects is the best way to learn one of the most popular and widely used technologies today - Bootstrap. Bootstrap allows us to build modern and nicely looking websites in a very simple way, so, if you want to take your web developer/designer skills to the next level, then you definitely need to know how to use bootstrap and what it actually does.The course consists of several sections, we will start from Bootstrap basics like typography and utilities. Then you will be able to learn how to align elements on the page, using a Bootstrap grid system, and also, we will cover CSS Flexbox as well.After that, comes the main and the most interesting parts of the course. We will start to build projects, in which you will be able to learn the rest of the topics of bootstrap, like bootstrap components and much more. Our first project we will built on using Bootstrap Content Delivery Network (CDN).The second project will be the photo gallery, in which we will use bootstraps and also some CSS and SASS compiler. So, in this section, you will be able to learn how to use third parties plugin like lightbox.The next project is going to be sales. It will be a website about something like a online shop. This project will consist of multiple pages in which, you will meet more advanced and complicated things built with bootstrap.As for the last project we will admin dashboard. This is a single page application (SPA) where you can manage the activities of users. The site is really nice and different types of pagess, which will be impressive for you.Each project will be fully responsive to all screen devices.Throughout the course, you will meet detailed explanations about how bootstrap works, also, you will introduce to modern practices and solutions.Get fast and friendly support from instructors 24/7.JOIN US!!!

Who this course is for
Those that have little of no knowledge on Bootstrap
Those that have learn about bootstrap versions 1 - 4
Those who intended to move to the next level of their web design/development skills

Code:

https://anonymz.com/?https://www.udemy.com/course/complete-bootstrap-521/

Code:

https://rapidgator.net/file/ab55f669b0aad483146e4f5aea70d6e6/COMPLETE_BOOTSTRAP_5.2.1.part1.rar
https://rapidgator.net/file/565c58bafee8e36fc4f57a5c28b92745/COMPLETE_BOOTSTRAP_5.2.1.part2.rar
https://rapidgator.net/file/43785123acbcf2f3af5805572ae4cdef/COMPLETE_BOOTSTRAP_5.2.1.part3.rar

Code:

https://nitroflare.com/view/B3E3D48626576FA/COMPLETE_BOOTSTRAP_5.2.1.part1.rar
https://nitroflare.com/view/9E27B79C7915BD9/COMPLETE_BOOTSTRAP_5.2.1.part2.rar
https://nitroflare.com/view/D4EB8CEAC5810FA/COMPLETE_BOOTSTRAP_5.2.1.part3.rar

**Ajkula** · 10-08-2023, 10:44 PM

Advanced Css & Sass: Framework, Flexbox, Grid, Animations
Last updated 11/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 16.00 GB | Duration: 25h 52m

Create your own CSS Framework with reusable components using SASS. Advanced & Modern CSS Flexbox, Grid & Animations

What you'll learn
CSS
Flexbox layouts: build multiple real-world Templates with flexbox
CSS Grid layouts: build multiple real-world Templates with CSS Grid
Advanced CSS animations with @keyframes, Animations
Advanced CSS Transitions
SASS
SCSS
Structuring Web Pages
Advanced responsive design: media queries, em and rem units, etc.
Using Sass in real-world projects: managing media queries, global variables, CSS animations, etc.
Responsive images
Create your own CSS Framework
Create you own reusable Variables Component for Colors, Screen sizes and Typography and implement them in web pages
Create you own reusable Buttons Components and implement them in web pages
Create you own reusable Cards Components and implement them in web pages
Create you own reusable Navigation Components and implement them in web pages
Create you own reusable Form Components and implement them in web pages
Web Development essentials
Get friendly and fast support in the course Q&A

Requirements
HTML
Basic CSS
PC or MAC

Description
Got your basics done? html hello world, style color red, good, it's time to create amazing web sites. We are going to start up slowly and create a simple landing page, then we will go through modern CSS technology like CSS flexbox, CSS Grid, animations, transition, then start creating our own reusable sass components and apply then trough classes in our own website templates.Who is this course for:NOT for Absolute Beginners!Beginner CSS developers who want to up there CSS game. CSS developers who want to have a deeper understanding on how CSS Works.Freelancers who want to have basic Web-page Templates for client presentations. CSS developers who want to expand their tool-set to animations, Flexbox, CSS Grid, Sass, and much more.Front-end developers who want to finally understand how CSS works behind the scenes.In general: anyone who wants to truly master CSS!In a nutshell, this course is for those of you who got your basics done in HTML,CSS and want to go to the next level.What is the next level?Now we get in to what YOU actually will learn in this course:From Beginner to Advance CSS Web Pages Structuring.Using Pseudo Elements and Classes.Flexbox layouts.Grid layoutsCSS TransitionsCSS Animations with @keyframesAdvanced Responsive Design: media queries @media, em and rem units, etc.Using Variables in CSS.Complete SASS technology and SCSS to CSS compiler. SASS SyntaxSASS VariablesSASS ScopeSASS ShadowingSASS Data Types: Numbers, String, Colors, Lists, Maps, Boolean and Null.SASS OperatorsSASS FunctionsSASS MixinSASS Flow Control with: @if, @else @if, @else, @each, @for, @while.Creating Reusable Variables Components.Creating Reusable Typography Components.Creating Reusable Buttons Components.Creating Reusable Cards Components.Creating Reusable Navigation Components.Creating Reusable Form Components.Why SASS ?If your CSS to cluttered up!? And You want to create some clarity in your Project. Then You need to get more organized in order to become a more efficient Developer !The best way to get organized and up your productivity is to slice everything up in to easy to control pieces.How?The main Focus of this Course is to Reverse Engineer the creation process, thus resulting in a more deeper understanding of CSS by using SASS Structure of Style-sheets named Partials. Partials will help you separate your design in to small and ease to manage peaces!You will learn complex CSS Animations and Transitions, advanced responsive design techniques, Flexbox layouts, CSS Grid ,Sass, CSS architecture, fundamental CSS concepts, and so much more.After finishing this course you will have a profound understanding of :FlexboxCSS GridAnimationsTransitionSass and ScssResponsive webdesignYour Own CSS Framework with reusable ComponentsMultiple Web-page Templates.Your Own Portfolio Website. This Course contains: Lifetime access to 20+ hours of HD quality videos. No monthly subscription. Downloadable assets, HTML starter code for each project; All videos are downloadable. Learn wherever you want, even without an internet connection! Friendly and fast support in the course Q&A whenever you have questions or get stuck; English closed captions .Just one more thing!What is the most important thing in life?If your answer was time then you are right. Either it's time whit you Family, your Spouse, your Friends, time is of essence. How can we get more time? We can't. :(Time is NOT recyclable! Wants it's gone it's gone forever. What we can do is save time. So have can we save time? By getting more efficient, how do we get more efficient, we set up systems that work for us. If I could compress this course in to one word it would be efficiency.My Name in :Menyhart B. Norbert and I would love to welcome you as a new student in my course. I'm sure you're gonna love it!

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Setting up the Developer Environment

Lecture 3 Developer environment Resources

Lecture 4 Web Browser & Code Editor

Section 2: Starter Project - Reverse Engineering

Lecture 5 Introduction

Lecture 6 Project Starter Files

Lecture 7 Laying Plans

Lecture 8 Menu Bar

Lecture 9 Main

Lecture 10 Footer

Lecture 11 Responsiveness on Mobile Platforms

Lecture 12 Sass Basic Setup

Lecture 13 Partials and Config

Lecture 14 Partial file Variables

Lecture 15 Partial file for the Navigation

Lecture 16 Partial file for the Main

Lecture 17 Partial file for the Footer

Lecture 18 Partial file for Responsiveness

Lecture 19 Conclusion

Section 3: SASS Explained

Lecture 20 SASS Syntax Starter Files

Lecture 21 SASS Syntax

Lecture 22 SASS Variables Starter Files

Lecture 23 SASS Variables

Lecture 24 SASS Default Value

Lecture 25 SASS Scope

Lecture 26 SASS Shadowing

Lecture 27 SASS Flow Control

Lecture 28 SASS Advance Variable Functions

Lecture 29 SASS Deta Types

Lecture 30 SASS Data Types - Numbers

Lecture 31 SASS Data Types - Strings

Lecture 32 SASS Data Types - Colors

Lecture 33 SASS Data Types - Lists

Lecture 34 SASS Data Types - Maps

Lecture 35 SASS Data Types - Boolean

Lecture 36 SASS Data Types - Null

Lecture 37 SASS Operators

Lecture 38 SASS Functions

Lecture 39 SASS Mixin

Lecture 40 SASS Flow Control

Lecture 41 SASS Flow Control @if and @else

Lecture 42 SASS Flow Control @each

Lecture 43 SASS Flow Control @for

Lecture 44 SASS Flow Control @while

Section 4: Responsive design @media

Lecture 45 Desktop Tablet Mobile

Section 5: Flex Box in CSS and SASS

Lecture 46 Intro

Lecture 47 Starter Files

Lecture 48 Display Flex & Flex Direction

Lecture 49 Flex Wrap

Lecture 50 Justify Content

Lecture 51 Align Items

Lecture 52 Align Content

Lecture 53 Flex Order

Lecture 54 Flex Grow

Lecture 55 Flex Shrink

Section 6: Project - Food Blog Template - Using Flex Box

Lecture 56 Intro

Lecture 57 Starter Files

Lecture 58 Basic Configuration

Lecture 59 Navigation

Lecture 60 Main

Lecture 61 About

Lecture 62 Footer

Lecture 63 Responsiveness

Section 7: Display Grid in CSS and SASS

Lecture 64 Intro

Lecture 65 Starter Files

Lecture 66 Display Grid - Grid Template Column & Row

Lecture 67 Grid Template Area

Lecture 68 Grid Template

Lecture 69 Grid Gap

Lecture 70 Align Items

Lecture 71 Justify Items

Lecture 72 Justify Content

Lecture 73 Align Content

Lecture 74 Grid Auto Columns & Rows

Lecture 75 Grid Auto Flow

Lecture 76 Children Properties

Section 8: Project - Photo Template using CSS Grid

Lecture 77 Photo Template Intro

Lecture 78 Photo Template Starter Files

Lecture 79 Photo Template Config Partial

Lecture 80 Photo Template Text Component

Lecture 81 Photo Template Grid Layout

Lecture 82 Photo Template Navigation

Lecture 83 Photo Template Header

Lecture 84 Photo Template Main

Lecture 85 Photo Template Aside

Lecture 86 Photo Template Section

Lecture 87 Photo Template Form

Lecture 88 Photo Template Footer

Lecture 89 Photo Template Responsiveness

Section 9: CSS Transitions & Rotations

Lecture 90 Introduction to the section

Lecture 91 Starter Files

Lecture 92 CSS What is a transition?

Lecture 93 CSS Transition Timing-Function Property

Lecture 94 CSS transition-delay

Lecture 95 CSS Transition Transform

Lecture 96 CSS Transition Shorthand

Section 10: CSS Animations

Lecture 97 Introduction to the section

Lecture 98 Starter Files

Lecture 99 @keyframes

Lecture 100 Animations using Colors

Lecture 101 Animations Directions

Lecture 102 Animation Speed Curve

Lecture 103 Animations Fill Mode

Lecture 104 Animations Short Hand

Section 11: Test Your CSS Might

Section 12: Project - Animated Buttons

Lecture 105 Project Overview

Lecture 106 Project Starter Files

Lecture 107 Animated Buttons using CSS

Lecture 108 Animated Buttons using SASS

Section 13: Components - First Components

Lecture 109 Intro

Lecture 110 Components - Starter Files

Lecture 111 Component - Variables

Lecture 112 Component - Typography

Section 14: Project - Simple CV Template

Lecture 113 Introduction

Lecture 114 Starter Files

Lecture 115 Config and File Structure

Lecture 116 Main Area

Lecture 117 Aside Area

Lecture 118 Aside Area - Skills

Lecture 119 Aside Area - Languages

Lecture 120 Section Area

Lecture 121 Footer Area and Switch Colors

Lecture 122 Responsiveness

Section 15: Create Sass Button Components

Lecture 123 Intro

Lecture 124 Buttons Partial Component

Lecture 125 Main Buttons Class

Lecture 126 Background Colors Class

Lecture 127 Outline Colors Class

Lecture 128 Buttons Dimension Class

Lecture 129 Checkbox and Radio Buttons

Lecture 130 Neon Buttons

Section 16: Create Sass Cards Components

Lecture 131 Starter Files

Lecture 132 Simple Cards

Lecture 133 Image Cards

Lecture 134 Background and Outline Colored Cards

Section 17: Project - Marketing Template using Buttons and Cards

Lecture 135 Introduction

Lecture 136 Starter Files

Lecture 137 Config and File Structure

Lecture 138 Header Section

Lecture 139 Main Section

Lecture 140 Plans Section

Lecture 141 Pricing Section

Lecture 142 About Section

Lecture 143 Footer Section

Lecture 144 Responsiveness

Section 18: Creating Sass Navigation Components

Lecture 145 Intro

Lecture 146 Starter Files

Lecture 147 Setup and Config

Lecture 148 Simple Navigation Bar

Lecture 149 Simple Navigation Bar with background color

Lecture 150 Navigation with Logo

Lecture 151 Navigation with Menu Button

Lecture 152 Navigation with Logo and Menu Button

Lecture 153 Navigation Item`s Position Switcher

Lecture 154 Navigation Positioning Top Right Bottom Left

Section 19: Project - Simple CV Template - With Navigation

Lecture 155 Intro

Lecture 156 Basic Setup

Lecture 157 Navigation Responsive Re-positioning

Lecture 158 Navigation Color Switcher

Section 20: Project - Profile Template

Lecture 159 Intro

Lecture 160 Starter Files

Lecture 161 Basic config and file structure

Lecture 162 Navigation Section

Lecture 163 Header section

Lecture 164 Skills section

Lecture 165 Statements section

Lecture 166 Service section

Lecture 167 Photo section

Lecture 168 Footer section

Lecture 169 Contact section

Lecture 170 Responsive section

Section 21: Creating Sass Form Components

Lecture 171 Intro

Lecture 172 Starter Files

Lecture 173 Simple Form

Lecture 174 Form Grid Layout

Section 22: Project Hotel Template with Animations

Lecture 175 Intro

Lecture 176 Starter Files

Lecture 177 Environment Setup and File Structure

Lecture 178 Basic config and Sections

Lecture 179 Navigation

Lecture 180 Header

Lecture 181 Rooms

Lecture 182 Hotels

Lecture 183 Contact and Subscription

Lecture 184 Footer

Lecture 185 Responsive

Section 23: Project - Parallax Template with Animations

Lecture 186 Intro

Lecture 187 Starter Files

Lecture 188 Environment Setup and File Structure

Lecture 189 Basic Config & Sections Settings

Lecture 190 Navigation

Lecture 191 Header Section

Lecture 192 About Section & Parallax Effect

Lecture 193 Service Section

Lecture 194 Contact & Footer Section

Lecture 195 Responsive Parallax Effect

Section 24: Project - Your portfolio

Lecture 196 Intro

Lecture 197 Starter Files

Lecture 198 Main Page

Lecture 199 Navigation

Lecture 200 Main Page Responsive

Lecture 201 Portfolio Page Part-1

Lecture 202 Portfolio Page Part-2

Section 25: Extras

Section 26: Bonus !!!!

Lecture 203 What's Next ?!

Beginner CSS,Beginner SASS,Beginner Web Developers,Advanced HTML,Beginner Front End Web Developers,Advanced Web Developers,Advanced Front End Web Developers,Advanced Back End Web Developers curious about Front End Web Developers,Freelancers

Code:

https://anonymz.com/?https://www.udemy.com/course/advanced-css-sass-framework-flexbox-grid-animations/

Code:

https://rapidgator.net/file/b36c8b0b39c1190b0b5edac74ff3695d/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part1.rar
https://rapidgator.net/file/4dce1951912e421df9320f1595dc83c3/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part2.rar
https://rapidgator.net/file/e7065a5c80a86c28b173afad173b753d/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part3.rar
https://rapidgator.net/file/52f8c2935a2c8e8da4bf45051e7fa087/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part4.rar

Code:

https://nitroflare.com/view/2A9F363333F853A/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part1.rar
https://nitroflare.com/view/5E296B4B69F300E/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part2.rar
https://nitroflare.com/view/BB28E367FFCE5B4/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part3.rar
https://nitroflare.com/view/02DA1E1EAC44E58/Advanced_CSS_SASS_Framework_Flexbox_Grid_Animations.part4.rar

**Ajkula** · 10-08-2023, 10:47 PM

Master MongoDB with Version 6.0. Replication, Sharding, Security, CRUD, Aggregation, Indexes, Utilities, Administration!

What you'll learn
Perform Full-fledged MongoDB Design, Architecture and Administration with most recent MongoDB version 6.0
Understand in-depth MongoDB Replication for High Availability and Replica Set management
Understand in-depth MongoDB Sharding for Horizontal Scaling and related concepts
Understand and Work on MongoDB Security with Role based Access Control
Learn in-depth CRUD (Create, Read, Update, Delete) operations and write efficient queries with various Query Operators
Understanding in-depth Aggregation Pipeline and perform various aggregation queries with variety of Expression Operators
Understand and Create MongoDB supported Indexes and related properties including special MongoDB Indexes - Multikey Index, Text Index, Geospatial Indexes
Understand and perform MongoDB Query Performance Tuning using Profiling and Explain Methodology
Understand and Use MongoDB Database tools - mongodump, mongorestore, mongoexport, mongoimport, mongotop, mongostat, bsondump, mongofiles
Understand the concept of Data Modeling, Schema Validations and Storage Engines in MongoDB
Perform MongoDB Administration and Maintenance Operations
Build strong basics around MongoDB key concepts with easy to understand format

Requirements
No prior knowledge on any Databases is required
Basic Computer Knowledge is good to have
PC or Laptop or Mac is a Must

Description
Join this MongoDB course to learn all about this extremely popular database and query language from the ground up, in great detail and with many practical examples!MongoDB is one of the most important NoSQL databases you can work with these days. MongoDB is able to handle large volumes of data while maximizing performance and adopt a flexible schema approach, giving you ultimate flexibility when modelling data.In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required!The curriculum is comprehensive and is designed to take you from beginner to advance level.In detail, you'll learn: ... how to architect, design and administrate the MongoDB database system with most recent version 6.0 ... how to install and use MongoDB locally on Windows and Linux OS ... how to implement High Availability in MongoDB using replica set and work with it ... how to implement High Scalability in MongoDB using Sharding feature and work with it ... how to perform Data Modeling efficiently ... how to enforce data Security on database instances and work with it ... how to work with various Database Tools available for backup/restore and statistics purposes ... how to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases ... how to filter data efficiently ... how to work with the Mongo Shell ... how to work with various types of Indexes in MongoDB ... how to increase query performance by using indexes (and how to use the right indexes!) ... how to use the amazing "Aggregation Framework" that's built into MongoDB ... and much more!This course is a hands-on course - you'll learn by working alongside with me. We'll work on a wide variety of example data and use-cases and by the end of the course, you'll have all the knowledge you need to work with MongoDB in your next project!

Who this course is for
Data Scientists, Data Architects, Database Designer, Database Administrators, or Developers, who plan on (or are already) working with MongoDB
All Beginners or Advanced users who wants to explore all MongoDB features
Any professional or student who is looking for new add-ons to their skill sets
Anyone who is managing NoSQL projects or wants to learn NoSQL databases

Code:

https://anonymz.com/?https://www.udemy.com/course/the-ultimate-guide-for-mongodb/

Code:

https://rapidgator.net/file/d71f88e045def3d55381f5e2a53cdf10/The_Ultimate_Guide_for_MongoDB_2023.part1.rar
https://rapidgator.net/file/2926fb84a216086d07ede967742fc932/The_Ultimate_Guide_for_MongoDB_2023.part2.rar
https://rapidgator.net/file/f299d2f6f637c268ac43a95f77b51728/The_Ultimate_Guide_for_MongoDB_2023.part3.rar

Code:

https://nitroflare.com/view/F82036135C46241/The_Ultimate_Guide_for_MongoDB_2023.part1.rar
https://nitroflare.com/view/612670802FD5DA6/The_Ultimate_Guide_for_MongoDB_2023.part2.rar
https://nitroflare.com/view/66D1D802B74959D/The_Ultimate_Guide_for_MongoDB_2023.part3.rar

**Ajkula** · 10-08-2023, 10:50 PM

BUILD THE BEST ECOMMERCE WEBSITE EVER WITH REACT JS NEXT JS REDUX TOOLKIT AND NEXT AUTH

What you'll learn
Build the most exciting ecommerce project with react js, next js, mongodb, redux toolkit and next auth
Learn and master next js and remove all confusion
Master Next auth for full authentication system, learn about callbacks and crfTOkens
User Redux Toolkit with redux persist for a killer combination for managing state
Master Next js and all of its secrets and tricks and become comfortable using it for you frontend and backend work
Learn how to work with Mongodb and how to add ,update, remove and query like a pro.
Learn how to use Cloudinary to store your images in a new brilliant way and how to upload, search, filter and open a new perspective on working with Cloudinary.
Build a mailing system from scratch to send emails to the user for email verification links and reset code password.
Strong advanced form validation using Formik and Yup and learn about the best form validation techniques used
Learn how to use react redux toolkit to have a global store shared across all of our application.
Learn how to create protected routes using next auth and secure your application and pages.
Learn how to work with useState, useReducer, useEffect, useRef, useCallback, event Listeners

Requirements
A basic knowledge in working with React js
A reasonable knowledge in web development is always welcomed

Description
Hello my fellow developers and welcome to a new exciting course which maybe the best you will ever see ,m talking about building a fully advanced ecommerce website using react js next js mongodb redux toolkit and next auth and many other exciting tools ,which is a dream combo if you know what you are doing and will allow you to build some of the best websites you can imagine.this video is a must watch till end so you dont miss any exciting features,and now let me show you why this build is actually awesome, i took a very different approach than most ecommerce websites you see in other courses, our products will be listed in swipers as you can see and that will allow you to see the product in its full form and all different styles cuz our prodycts consist of many (for example you have a jacket but the jacket can be black green red and every color will have diff sizes and every size has a diff qty and a diff price ) , so tell me have you seen smth like this in any other couse no and this is a first which is a more realistoc approach that u see in websites like amazon ebay etc..and every product will have its own page that looks awesome as you can clearly see also we added a zoom tool to zoom on the product for a better look also we have some stats on reviews with the ability to add a review in details and even you can use images and we have a table to showcase all reviews with filtering and pagination etc...the most important part about an ecommerce experience starts with the cart which we have done a very good job on, the products added will be displayed and even the logic behind it is impressive and also the cart gets updated everytime to make sure the products are still available and the prices are up to date,also you can change qty and delete a product and u will have to select the products you wanna checkout with and the total will be calculated and also adding the shippingFees to the count.jumping to the checkout page where you can see a summary of your cart the addresses you have where you can select the address you wanna continue with and even add your own addresses and just a side note every form we have in this build is validated by formik and yup to make sure any data you type is strictly validated. you can choose a payment method and we also give you the option to use a coupon for a discount on your order.and after placing the order the order gets created and now you can pay using three ways yes three we work on paypal payment which allows you to pay with paypal balance and even credit cards and also we we added a strpe gateway so you can pay with you credit card directly and also we have the option to pay cash on delievery.now still so much exciting features i have to go through and i wanna start with the browse page cuz its is absolutely awesome and just perfect you have your products displayed and you can search for products and you can filter through them using all kind of filters together u can choose the category brands sizes colors styles and mix it all together and adding pricing filters rating filters and on top of that you can sort in all different ways and thats not the end of it we add the pagination to the mix to make sure it reaches perfection i dont think you can do better than this.and after all of this i just wanna casualy tell u about the location detector so we will be able to detect which country the user is accessing our website from and get all informations needed and you can use those infos for your advantage to show certain and also hide certain products from a user from a certain region as big websites do. randomly also i can tell you we added a newsletter system connected to mailchimp api where we can gather all emails registerd in the news letter and you can send promotional emails to all of m at once.okey before continuing i also wanna talk about our authentification system using next auth which can be really hard to customize depending on your needs but i will tell you that our authentification page has strictly validated forms and we allow you to register and we even send you an email after for verification and activating your account and we will create custom emails for activation forgetting password etc..and m gonna show how to create these high quality custom emails.now we come to the login process so we will use next auth providers to log you in using credentials and also social login like google twitter github and even aith0 and all sessions will be handled with next auth and we also gonna use server side middlwares to protect every route using next auth itself not forgetting the ability to reset your password also.not gonna forget about our home page with its beautiful design and swipers all arround and even custom components that have a countdown for flash deals and i added it because ive seen it a lot so i had to do it.and before jumping to the admin dashboard i wanna talk about the profile page where you can customize your profile,go through your orders with all their different status and you can also manage your addresses and add and remove and even choosing a default payment method and even the ability to change your password.and now we come to the admin dashboard which in itself should be a seperate course but i wanted to give you all you need in one course,so lets talk about it its a well designed dashboard with beatiful colors and impressive functionality ofc.the main page has a brief data of stats and recent orders and users whch is not that impressive but lets talk about the create product page first so you will be able to create a product with all the basics you need and more from pictures that will be uploaded to cloudinary so cloudinary is our cloud service then you can extract colors from those images to choose the main color of that product alongside the style, and you can also choose a category and all the subcategories the product belongs to,also you can decide if a product has a size then u can add the qty and the price of that size you can also add custom informations about the product to make every product details and description very unique whic also a new approach same thing goes for questions, also if the prduct belongs to an existing product you can choose it and it will fill all informations except the unique ones that related to that product only and then simply we update the existing product and add the subproduct to it, we also can manage categories and subcategories with the abilty to list and update a category or subcategory with the option to delete same goes for coupons where we can add a coupon with a starting date and an ending date that means we will work on dates which always good to get comfortable with.now we come to orders who are displayed in smart way where you can see the main infos then expand to see first the user infos and the shipping informations then under that we can see the order in details so you know exacly which product we have to ship and the actual qty and style etc...we have also a page for users where we can see all the users and mange em.also we have a page for all products where we can see all of the products grouped showing all different styles and subproducts for that products and you edit or delete or make a product in the flash deals or doing whatever you like cuz in this course you will be able to creates an ewesome propject but at the same time your skills will just get waaay better and you will get comfortable with very complicated large projects and you will learn the archeticture of a project and how you organise it and how to be professional learn clean code.its almost 50 hours of content that can be expanded with 220+ videos for the amount of content you get access to this is a no brainer course so come join us and become a better developer.

Who this course is for
react js beginners
next js beginners
Beginner web developer
Junior web developer
React js developer
Node js developer
web developer
next js developer

Code:

https://anonymz.com/?https://www.udemy.com/course/build-the-best-ecommerce-website-ever-with-react-js-next-js/

Code:

https://rapidgator.net/file/e609ed6da1eaf1e74612eb33df856c00/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part1.rar
https://rapidgator.net/file/40e7f3f320a292dede3b48d77622f1e1/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part2.rar
https://rapidgator.net/file/86c71e1bb9b55fc0b9118ed74405ff3a/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part3.rar
https://rapidgator.net/file/a477fc7f03c5fc146fafcc76a9114f8c/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part4.rar
https://rapidgator.net/file/1c085dff7ae5677211319be8ffd38320/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part5.rar

Code:

https://nitroflare.com/view/AF17F3C811671C5/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part1.rar
https://nitroflare.com/view/C2EA43E68031AAF/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part2.rar
https://nitroflare.com/view/532B6DAD63EF6D9/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part3.rar
https://nitroflare.com/view/2E4E3DD625F1927/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part4.rar
https://nitroflare.com/view/6918EDE3E61C7D5/BUILD_THE_BEST_ECOMMERCE_WEBSITE_EVER_with_REACT_JS_NEXT_JS.part5.rar

**Ajkula** · 10-13-2023, 10:17 PM

Essentials Of Ayurveda: A Holistic Course On Food Science
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 29.20 GB | Duration: 30h 41m

The only course you need to transform your life. Learn all the secrets of Ayurveda for healthy lifestyle in modern times

What you'll learn
Essentials and Fundamentals of Ayurveda
Theory & Practical implementations of Five Elements (Panch-Mahabhoota)
Theory & Practical implementations of Three Dhosas (Vata, Pitta & Kapha)
Theory of Dhaatus (7 Tissues)
Theory of Mala (Impurities)
Theory of Agni (Biological fire)
Theory of AAMA (Toxins)
Theory of Prakriti & its Gunas (Qualities, Characters & general identifying factors)
Theory of Rasa & Vipaka (Taste & End product)
Theory of Virya (Potency)
Properties of different food materials
Ayurveda Diet concept (not specific to individuals, very generalise)
Diet according to Prakriti (General guidelines)
General suggestions on Diet as per Ayurveda
Classes on Vegetables & Spices
Classes on Nuts & Grains
Classes on Fruits
Classes on Milk and Milk Products
Classes on Oils and Sweeteners
Classes on Manas (Mind)
Classes on Healthy diet patterns to prevent Lifestyle disorders

Requirements
This valuable & transformational course is open for everyone. Only a wish to transform is required.

Description
Ayurveda says, "Food is the ultimate medicine and lifestyle is therapy."This course primarily focuses on all the essential elements of Ayurveda for healthy living. Participants will learn to incorporate all the learnings from 1st lecture itself. The course is designed by Yoga & Ayurveda Master Trainer Gaurav Negi, who practices what he preaches. The course is designed systematically from the basics to the advanced level and covers all the necessary skills required in modern life to live happily and healthily. The biggest reason for all human problems is IGNORANCE and Since most of us are suffering from various illnesses & disorders (physical or mental) nowadays due to poor lifestyles and diet, therefore, this course is designed in a holistic way for everyone to get back to health and live happily with Consciousness. Practitioners will start seeing the change from day 1 itself, however, this course demands dedication, commitment and a wish to transform from within. Be your own doctor by knowing your body's constitution. After successfully implementing the course learnings, you will have all the tools to diagnose and treat imbalances and transform yourself to prevent further disease, forever. This course will give you the knowledge and confidence to support your family and community with authentic ayurvedic counselling regarding proper diet, lifestyle, natural living and treatment.Ancient traditional Ayurveda textbooks are used as sources for creating this course:Sushruta Samhita - written by Acharya SushrutaCharaka Samhita - written by Acharya CharakaAshtanga Hrudayam - written by Acharya VagbhataWhat you ll learnEssentials and Fundamentals of AyurvedaTheory & Practical implementations of Five Elements (Panch-Mahabhoota)Theory & Practical implementations of Three Dhosas (Vata, Pitta & Kapha)Theory of Dhaatus (7 Tissues)Theory of Mala (Impurities)Theory of Agni (Biological fire)Theory of AAMA (Toxins)Theory of Prakriti & its Gunas (Qualities, Characters & general identifying factors)Theory of Rasa & Vipaka (Taste & End product)Theory of Virya (Potency)Properties of different food materialsAyurveda Diet concept (not specific to individuals, very generalise)Diet according to Prakriti (General guidelines)General suggestions on Diet as per AyurvedaClasses on Vegetables & SpicesClasses on Nuts & GrainsClasses on FruitsClasses on Milk and Milk ProductsClasses on Oils and SweetenersClasses on Manas (Mind)Classes on Healthy diet patterns to prevent Lifestyle disordersAre there any course requirements or prerequisites?This valuable & transformational course is open to everyone. Only a wish to transform is required.Who this course is for:Anyone who wishes to learn all the fundamentals of Ayurveda and its practical implementations in daily life.Anyone who despite following the healthiest diet possible end up getting unnecessary health issues on daily basis.Yoga & Fitness Instructors, Health & Lifestyle Coaches to incorporate the Right knowledge of food & life science.Kitchen head at home who is primarily responsible for cooking food for others.Anyone who wishes to live a Happy & Healthy LifestyleWhat will you get:Learning from the best in the Industry. Gaurav Negi is an International course presenter for Yoga, Ayurveda, Fitness, Anatomy & Physiology, Corrective exercises and Rehabilitation.110+ Lectures (30+ Hours of Content)You will get a Personalized Certificate after the completion of this course.Full Course manual to download. Lifetime assistance to help the community. Free Monthly Live GROUP Class with Real-Time Advice on real scenarios with the course participants. All your Questions and Doubts on this topic will be answered.A Monthly Live Class covering a different topic on Ayurveda to recap and revise.By the end of this Ayurveda course, you will:Be able to apply all the fundamentals of Ayurveda for healthy living Be able to distinguish between various Prakriti typesBe able to modify your diet according to the time and place Be able to guide your family and friends with a better lifestyle regimen Be able to proactively prevent yourself from illness and diseasesBe able to apply diet and lifestyle knowledge with a holistic approach Be able to choose the best diet according to the Prakriti and GunasBe able to suggest home remedies for common disorders Be able to live consciously and mindfully Be able to live peacefully Be able to restore Gut health Be able to do Prakriti Analysis and suggest remedies accordingly Be able to distinguish between wholesome and unwholesome food types Be able to understand the safe and correct ways of Fasting and DetoxBe able to understand critical tissues formation and its role according to Ayurveda Be able to restore and boost Agni (Digestive Fire) for transformation Be able to understand Toxins and how to get rid of them for healthy living Be able to understand how One s Nectar can be another s Poison Be able to understand the importance of Rasa/Tastes and its importance to overcome diseases and ill health Be able to understand the concept of Let Food Be Your First Medicine And Kitchen Be Your First Pharmacy Be able to choose specific food elements from the vast list of items for specific Dosha balance Be able to understand the season's relation with DOSHAS for health and healing Be able to become your own doctor for your own health Be able to remove IGNORANCE and live life mindfully for health and peace

Overview

Section 1: Introduction to Ayurveda

Lecture 1 Ayurveda Introduction Overview

Lecture 2 Importance Of Ayurveda

Lecture 3 Quality Of Life Should be our Aim

Lecture 4 Purpose of the life

Lecture 5 Prevention Of Health

Lecture 6 History Of Ayurveda

Lecture 7 Teachers & Ancient Texts Of Ayurveda

Section 2: Overviews of Tri-Doshas, Digestive Fire, Concepts and Classifications

Lecture 8 Ayurveda's Definition Of Health

Lecture 9 Overview of Tridoshas (Vata, Pita & Kapha)

Lecture 10 Overview of Agni (Digestive Fire)

Lecture 11 Few Other Definitions of Ayurveda

Lecture 12 Concept of Diseases In Ayurveda Part 1

Lecture 13 Concept of Diseases In Ayurveda Part 2

Lecture 14 Classifications & Branches Of Ayurveda

Section 3: Food & Healthy Eating Habits according to Ayurveda

Lecture 15 Purpose Of Food According to Ayurveda

Lecture 16 Dietetics In Ayurveda

Lecture 17 Post Class Discussion On Movements as per Ayurveda

Lecture 18 Life is like Driving a Car

Lecture 19 A quick question on Spices according to the Dosha Dominance

Lecture 20 Which type of Food you should have according to the Ayurveda

Lecture 21 21 Should you Mix your Food according to Ayurveda?

Lecture 22 Why we use Common Salt?

Lecture 23 How much quantity one should have according to Ayurveda?

Lecture 24 Potency of Food according to the Place & Body Constitution

Lecture 25 Food according to Time & Usage in Ayurveda

Lecture 26 Food Eating Regulations as per Ayurveda Part 1

Lecture 27 How You Should Drink Water

Lecture 28 Food Eating Regulations as per Ayurveda Part 2

Lecture 29 Are You Cooking Or Killing Your Food?

Lecture 30 Back to Basics for Health

Lecture 31 Ayurveda Tips for Healthy Life

Section 4: Know Your Body Constitution (Vata, Pita, Kapha)

Lecture 32 (Panch-Mahabhoota) Theory & Practical implementations of Five Elements

Lecture 33 (Tri-Doshas) Theory & Practical implementations of Vata, Pita & Kapha

Lecture 34 Eat Your Breakfast like a King (What does it mean?)

Lecture 35 Vata, Pita & Kapha in Details

Lecture 36 (Prakriti) Your Body Constitution

Lecture 37 Characteristics of Body Constitution (Prakriti)

Lecture 38 (Prakriti Analysis) Know Your Body Type as per Ayurveda

Lecture 39 Prakriti Analysis Scores Discussion Part 1

Lecture 40 Prakriti Analysis Scores Discussion Part 2

Section 5: Wrong Food Combinations, Fasting Principles, 7 Tissues & Toxins as per Ayurveda

Lecture 41 So How Are You All Doing At Home Now?

Lecture 42 Wrong Food Combinations as per Ayurveda

Lecture 43 (Viruddha Aahar) Incompatible Diet as per Ayurveda

Lecture 44 Factors Responsible for (Viruddha Aahar) Incompatible Diet Part 1

Lecture 45 Factors Responsible for (Viruddha Aahar) Incompatible Diet Part 2

Lecture 46 Few more Incompatible Food Examples (Viruddha Aahar)

Lecture 47 Diseases caused by Incompatible Foods

Lecture 48 All about Fasting & Detox according to Ayurveda for a Happy & Healthy Life

Lecture 49 Are you also feeling and doing the same?

Lecture 50 Should you Cook your Veggies?

Lecture 51 Seven Dhatus - 7 Tissues of the Body as per Ayurveda

Lecture 52 Mala - The Waste Material in the Body Part 1

Lecture 53 Mala - The Waste Material in the Body Part 2

Lecture 54 Agni - The Digestive Fire Part 1

Lecture 55 Agni - The Digestive Fire Part 2

Lecture 56 Types of Gastric fire (Jatharagni) & their Importance

Lecture 57 Post Class Discussion on Agni & Digestion

Lecture 58 Participants Experience after Implementing Corrective Food Habits

Lecture 59 Common Confusions about Food for Different Body Constitutions (Prakriti)

Lecture 60 Small Lifestyle Changes Bring Major Difference (Participants Experiences)

Lecture 61 What is Ama "Error of Metabolism" (Toxin)?

Lecture 62 Formation of Ama's (Toxin's) Reasons, Character & Symptoms

Section 6: Tell Me What You Eat And I Will Tell You What You Are

Lecture 63 Tell Me What You Eat And I Will Tell You What You Are

Lecture 64 Six Tastes (Rasa) according to Ayurveda

Lecture 65 One s Nectar can be another s Poison Six Tastes (Rasa) Part 2

Lecture 66 The biggest reason for most of the incurable diseases of the modern world.

Lecture 67 Post Class Doubt Clearing Session & Discussion

Lecture 68 Which Rasa-Taste to have or avoid in which Prakriti-Dosha Dominance

Lecture 69 The 20 Gunas of Ayurveda & Food Tips Accordingly

Lecture 70 Virya - Potency & Vipaka - Post Digestive Effects in Ayurveda

Lecture 71 Further Discussion on Virya - Potency & Vipaka - Post Digestive Effects

Lecture 72 Karma Action of Drug - Therapeutic effects of Drugs Part 1

Lecture 73 Karma Action of Drug - Therapeutic effects of Drugs Part 2

Section 7: Let Food Be Your First Medicine And Kitchen Be Your First Pharmacy

Lecture 74 A Natural Way to Improve your Health with Ayurvedic Food

Lecture 75 Vata Reducing Diet in Details Part 1

Lecture 76 Vata Reducing Diet in Details Part 2

Lecture 77 (Rasa) Tastes to Favour or Avoid - Vata Reducing Diet in Details Part 3

Lecture 78 Decoction for Vata Reduction as per Ayurveda

Lecture 79 Best Vata Balancing Herbal Tea

Lecture 80 Sample Diets (Breakfast, Lunch & Dinner) for Vata with Lists of Food Choices

Lecture 81 Pita Reducing Diet in Details Part 1

Lecture 82 (Rasa) Tastes to Favour or Avoid - Pita Reducing Diet in Details Part 2

Lecture 83 Best Pita Balancing Herbal Tea

Lecture 84 Sample Diets (Breakfast, Lunch & Dinner) for Pita with Lists of Food Choices

Lecture 85 Kapha Reducing Diet in Details Part 1

Lecture 86 (Rasa) Tastes to Favour or Avoid - Kapha Reducing Diet in Details Part 2

Lecture 87 Best Kapha Balancing Herbal Tea

Lecture 88 Sample Diets (Breakfast, Lunch & Dinner) for Kapha with Lists of Food Choices

Lecture 89 Secret Of Healthy Living, Tri-Dosha balancing diet

Lecture 90 Discussion on Kids Health in 21st Century

Section 8: Eating Healthy Can Cost You MONEY But Eating Unhealthy Can Cost You LIFE

Lecture 91 Lettuce Be Healthy By Eating Veggies

Lecture 92 Discussion On Diabetes (Which Rasa is Good For Diabetic Patient)

Lecture 93 I Think Being A Little Nuts Is Helpful

Lecture 94 Food Is Fuel, Eat To Live, Don't Live To Eat

Lecture 95 Lentils Are Friendly - The Miss Congeniality Of The Bean World

Lecture 96 Fruit Is Nature s Candy, But Not All Candies Are Sweet In Nature

Lecture 97 There Is No Use Of Crying Over Spilled Milk"

Lecture 98 There Is Oil In The House Of The Wise

Lecture 99 Spice A Dish With Love And It Pleases Every Palate Part 1

Lecture 100 Spice A Dish With Love And It Pleases Every Palate Part 2

Lecture 101 Little Awareness Brings Enlightenment (On the go Feedback from Participants)

Lecture 102 Guna Dominance Test (Let's see what type of Mind you have got?)

Lecture 103 Diet for the Mind

Lecture 104 Seasons Relation with DOSHAS & Regimen as per Ayurveda

Section 9: Some Common Doubts & Questions of the Live Course Participants

Lecture 105 How to Bring Balance in Satva, Rajas & Tamas Gunas?

Lecture 106 Why You Should Have Water In The Morning according to Ayurveda?

Lecture 107 When & How to Drink Water according to Ayurveda & Why is it Super Important?

Lecture 108 Oil Therapy, Oil Pulling, its Benefits & Detox according to Ayurveda

Lecture 109 How to Implement Learned Knowledge & Skills of Ayurveda Course into Life?

Section 10: Valuable Feedback from Course Participants (MUST WATCH BEFORE COURSE ENROLMENT)

Lecture 110 Amazing Results with Life Changing Experiences: Participant's Valuable Feedbacks

Anyone who wishes to learn all the fundamentals of Ayurveda and it's practical implementations in daily life.,Anyone who despite following the healthiest diet possible end up getting unnecessary health issues on daily basis.,Yoga & Fitness Instructors, Health & Lifestyle Coaches to incorporate the Right knowledge of food & life science.,Kitchen head at home who is primarily responsible for cooking food for others.,Anyone who wish to live a Happy & Healthy Lifestyle

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