python Full Course -Learn in Online 12 hours Core with scratch Examples

python Full Course -Learn in Online 12 hours Core with scratch Examples


About Python Full Course:

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




Course Timings:

  • 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

Copyrights: Edureka

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