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PYTHON IS ONE of the world’s most popular programming languages. In fact, it’s more so than ever. Python climbed from third place to tie for second in the latest ranking of programming language popularity published by the analyst firm RedMonk. It’s the first time that a language other than JavaScript, which remains number one in the firm’s ratings, or Java, the other runner-up, has entered the top two since RedMonk started compiling its rankings in 2012.

Official Python Docs
https://docs.python.org/3/

Tools:
http://docs.python-guide.org/en/latest/dev/virtualenvs/
http://www.pythonforbeginners.com/basics/python-pip-usage

Practice:
http://www.practicepython.org/
https://www.hackerrank.com

Mobile apps:
https://play.google.com/store/apps/details?id=com.sololearn

Video tutorials:
https://www.udemy.com/python-for-absolute-beginners-u/
https://www.udacity.com/course/programming-foundations-with-python--ud036
https://www.coursera.org/learn/python3
https://pythonprogramming.net/

☝☝☝
Full Python Practice sets and video courses etc.

❗⚠❕IMPORTANT NOTICE ❗⚠❕

Every Video course in this channel are either from YouTube or from some other online course providers, I DON'T OWN ANY OF THIS CONTENTS, they belong to their respective copyright owners we will try not to make any infringement of copyright. I WILL DELETE THIS VIDEOS SOON so please forward the courses to your SAVED MESSAGES to avoid copyright infringement.
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Python Full Course_Learn Python In 12 Hours

Python Full Course - Learn Python in 12 Hours | Python Tutorial For Beginners | Edureka
2,694,961 views

edureka!
2.49M subscribers
Published on 1 Dec 2019
🔵Edureka Python Programming Certification Course: https://www.edureka.co/python-program...​
This Edureka Python for Beginners will help you learn the Python programming language and its core concepts with examples from scratch. This Python tutorial video helps you to learn the following concepts:
00:00​ Introduction
01:55​ What is Python?
03:40​ Why is Python popular?
04:55​ 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