Python Tutorial for Beginners - Learn Python from Scratch with Examples

Python Tutorial for Beginners - Learn Python from Scratch with Examples

This Python Tutorial for Beginners will help you learn Python programming language and its core concepts with examples from scratch.

This Python Tutorial for Beginners will help you learn Python programming language and its core concepts with examples from scratch.

This Python tutorial video helps you to learn the following concepts:

  • 1:55 What is Python?
  • 3:40 Why is Python popular?
  • 4:55 Features of Python
  • 6:50 Where is Python used in the industry?
  • 7:50 Learning Path
  • 9:15 Career Opportunities
  • 10:30 How Netflix use Python?
  • 11:55 How does it use Python?
  • 18:15 Python Developer Salary
  • 18:50 Who is Python Developer?
  • 19:20 Python Developer Job Trends
  • 21:55 How to become a Python Developer?
  • 23:05 Who is a Python developer?
  • 33:50 Job Roles
  • 41:40 Emerging Job Roles
  • 44:30 Road Map
  • 47:05 Python Installation
  • 54:30 How to run a Python program?
  • 58:35 Best IDE for Python
  • 59:35 What is an IDE?
  • 59:50 Features of an IDE
  • 1:00:50 Best IDEs of Python
  • 1:07:40 PyCharm Tutorial
  • 1:07:42 Introduction to PyCharm
  • 1:09:07 Features of PyCharm
  • 1:28:02 Comments in Python
  • 1:28:52 What are Comments?
  • 1:29:47 When to use Python?
  • 1:30:22 How to write comments in Python?
  • 1:32:22 Types of Comments
  • 1:35:57 Docstring Comments
  • 1:39:02 Variables & Data Types
  • 1:39:17 Variable definition & Declaration
  • 1:41:22 Data Types
  • 1:41:42 Numbers
  • 1:43:12 String
  • 1:46:02 List
  • 1:48:12 Dictionary
  • 1:50:12 Tuple
  • 1:51:27 Set
  • 1:53:52 Type Conversion
  • 1:54:42 Python Collections
  • 1:57:12 Specialised Collections Data Types
  • 2:14:57 Arrays
  • 2:15:32 What is an Array?
  • 2:17:27 How to create Arrays in Python?
  • 2:20:52 Accessing Array Elements
  • 2:22:42 Basic Array Operations
  • 2:24:27 Adding elements to an Array
  • 2:27:52 Removing Elements of an Array
  • 2:33:42 Slicing an Array
  • 2:36:12 Looping through an Array
  • 2:39:57 Hash Table and HashMap
  • 2:41:37 Creating Dictionaries
  • 2:44:02 Nested dictionaries
  • 2:46:52 Performing Operations on Hash Table
  • 2:55:32 Operators in Python
  • 3:13:17 Loops in Python
  • 3:13:52 Why to use Python?
  • 3:16:12 What are Loops?
  • 3:18:07 Loops in Python
  • 3:18:17 While Loop
  • 3:26:22 For Loop
  • 3:32:22 Nested Loop
  • 3:48:12 Patterns in Python
  • 4:24:27 File Handling
  • 4:25:07 Why need File Handling
  • 4:27:02 Types of Files
  • 4:28:37 What is File Handling?
  • 4:29:22 Python File Handling System
  • 4:32:52 File Operations for Reading
  • 4:41:27 Python File Write Method
  • 4:47:37 Decorator
  • 4:48:22 Functions in Python
  • 4:54:07 Decorators in Python
  • 5:08:32 Lambda
  • 5:10:17 How to write Anonymous functions?
  • 5:29:02 Map-Reduce Functions
  • 5:29:47 Introduction to map(), filter(), reduce()
  • 5:46:22 What are Generators?
  • 5:47:32 Normal functions vs Generators
  • 5:48:02 Writing Generators in Python
  • 5:52:57 Generators with Loops
  • 5:53:57 Generator Expressions
  • 5:56:22 Use-Cases
  • 6:02:27 OOPS Concepts
  • 6:03:07 Classes & Objects
  • 6:33:47 Inheritance in Python
  • 6:36:52 Types of Inheritance
  • 6:42:47 Python Super Function
  • 6:44:52 Exception Handling
  • 6:54:42 Try & Except block
  • 7:05:52 Python Module
  • 7:07:47 How to create a Module?
  • 7:17:33 Python Modules Search Path
  • 7:24:23 Date & Time
  • 7:24:58 time module
  • 7:38:23 Numpy
  • 7:38:58 What is Numpy?
  • 7:41:43 Numpy vs List
  • 7:49:03 Numpy Operations
  • 8:05:23 Numpy Special Functions
  • 8:09:58 SciPy
  • 8:10:48 What is Python SciPy?
  • 8:12:23 Basic Functions
  • 8:15:48 Special Functions
  • 8:18:53 Integration Functions
  • 8:24:43 Linear Algebra
  • 8:26:48 Interpolation Functions
  • 8:28:18 Pandas
  • 8:29:18 Data life-cycle
  • 8:31:23 What is Pandas?
  • 8:35:33 Pandas Operations
  • 8:54:13 Example
  • 8:59:38 Python for Statistics
  • 9:02:43 Pydoop
  • 9:04:03 Matplotlib
  • 9:04:28 Data Visualization
  • 9:09:13 Matplotlib
  • 9:10:13 Types of Plots
  • 9:30:13 Multiple Plots
  • 9:32:18 Seaborn
  • 9:32:53 Introduction to Seaborn
  • 9:33:33 Seaborn vs Matplotlib
  • 9:34:28 How to install Seaborn?
  • 9:34:48 Installing Dependencies
  • 9:35:33 Python Seaborn Functions
  • 9:44:23 Multi-Plot Grids
  • 9:47:08 Plot Aesthetics
  • 9:50:58 FIFA Use-case
  • 10:15:33 OpenCV Tutorial
  • 10:16:03 What is Computer Vision?
  • 10:16:48 How computer reads an Image?
  • 10:18:53 What is OpenCV?
  • 10:19:58 Basic operations with OpenCV
  • 10:27:33 Face Detection
  • 10:27:38 Face Detection using OpenCV
  • 10:31:53 Capturing Video
  • 10:43:28 Use-case - Motion Detector
  • 10:54:58 Web Development Framework
  • 10:55:23 What are Frameworks in Python?
  • 11:08:34 Python Web Development
  • 11:09:04 Python Web Development Libraries
  • 11:09:24 Python & Django
  • 11:28:19 Web Scraping
  • 11:33:49 Packages used for web Scraping

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