Front End Web Development Ultimate Guide
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Front End Web Development Ultimate Guide
Last updated 2/2023
Created by Josh Werner,Learn Tecc
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 690 Lectures ( 92h 43m ) | Size: 35.5 GB
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/
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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
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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
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https://nitroflare.com/view/9C5766B35EDBDD2/Front_End_Web_Development_Ultimate_Guide.part8.rar
Cracking the Javascript Coding Interview
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Cracking the Javascript Coding Interview
Last updated 4/2023
Created by Pratik Singhal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 196 Lectures ( 25h 39m ) | Size: 16.1 GB
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/
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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
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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
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2 In 1: Python Machine Learning Plus 30 Hour Python Bootcamp
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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/
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Code:
https://rapidgator.net/file/22a232e2c9b357df694c49bd0007ccd7/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part1.rar
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:
https://nitroflare.com/view/E5EF3E7814604C8/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part1.rar
https://nitroflare.com/view/E8B7248CF2AA6EA/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part2.rar
https://nitroflare.com/view/3BBBD8E05B4A9AB/2_in_1_Python_Machine_Learning_PLUS_30_Hour_Python_Bootcamp.part3.rar
Create Tinder Clone Using Flutter
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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/
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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
Svelte & SvelteKit: The Complete Guide
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Svelte & SvelteKit: The Complete Guide
Last updated 2/2023
Created by Ali Alaa
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 225 Lectures ( 31h 59m ) | Size: 12.2 GB
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/
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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
Advanced Css & Sass: Framework, Flexbox, Grid, Animations
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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/
[Only registered and activated users can see links. Click Here To Register...]
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
The Ultimate Guide for MongoDB 2023
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The Ultimate Guide for MongoDB 2023
Published 12/2022
Created by Firoj Atar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 316 Lectures ( 37h 40m ) | Size: 10.6 GB
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/
[Only registered and activated users can see links. Click Here To Register...]
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
Build The Best Ecommerce Website Ever With React Js Next Js
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Build The Best Ecommerce Website Ever With React Js Next Js
Last updated 1/2023
Created by Mohamed Hajji
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 212 Lectures ( 46h 22m ) | Size: 21.8 GB
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/
[Only registered and activated users can see links. Click Here To Register...]
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
Essentials Of Ayurveda: A Holistic Course On Food Science
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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
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