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 HashTable 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 -----------------------------------------------------------------------------------(00:01:55 - 11:56:22)
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