This Edureka Python Tutorial for Beginners (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you learn Python programming language and its core concepts with examples from scratch. Please drop a comment if you need the data-sets and codes discussed in this video. This Python tutorial video helps you to learn the following concepts in Python: 1:16 Introduction to Python 5:29 Who is using Python 7:13 Python Applications 7:34 Python Market Trends 8:36 Python Installation 10:17 Python IDE & Interpreter 12:30 Executing Code in Python 13:19 Comments and Literals 15:10 Indentation 16:20 Python Code Execution 16:50 Hello World Program Using Python 20:25 Identifiers 22:22 Variables 23:35 Data Types 26:22 Immutable Data Types 26:26 Numeric Data Type 27:34 Strings 28:28 Tuples 29:48 Mutable Data Type 29:55 Lists 34:19 Dictionaries 36:36 Sets 37:01 Python Operators 37:18 Arithmetic Operator 38:02 Assignment Operator 39:03 Comparison Operator 40:00 Logical Operators 42:22 Bitwise Operator 42:51 Identity Operator 44:11 membership Operator 42:55 Conditional Statements 51:38 Loops on Python 52:00 While Loop 53:07 For Loop 55:20 Nested Loops 55:50 Control Statements 58:30 Command Line Parameters 1:00:28 Sequences and File Operations 1:00:53 Python Input Function 1:02:46 Python File Operations 1:03:14 Opening and Closing Files 1:04:40 Python Open Function 1:06:50 Write Function 1:07:05 Read Function 1:07:19 Rename Function 1:07:52 Delete Function 1:10:05 Close Function 1:10:52 File Object Attributes 1:13:48 Python Sequences 1:17:40 Python Lists 1:19:12 List Operations 1:26:04 Python Tuples 1:26:30 Tuple Operations 1:30:10 Python Strings 1:37:14 Python Sets 1:38:25 Set Operations 1:41:58 Python Dictionaries 1:45:22 Dictionary Operations 1:49:12 Functions and Oops 2:21:12 Object-Oriented Concepts 2:22:28 Use Case 2:22:55 Classes and Objects 2:26:08 Creating a Class 2:26:57 Definition of Method 2:27:30 Scope of Variables 2:29:26 Attributes 2:38:16 Private Methods 2:39:39 Class Variables and Instance Variables 2:40:54 Constructor and Destructor 2:43:20 Key Concepts of Object-Oriented Programming 2:43:25 Abstraction 2:45:01 Encapsulation 2:45:19 Inheritance 2:45:47 Types of Inheritance 2:46:21 Single Inheritance 2:48:15 Multiple Inheritance 2:49:47 Overriding Method 2:51:01 Polymorphism 2:52:37 Getter and Setter Methods 2:54:21 Working with Modules and Handling Exceptions 2:54:28 Standard Libraries 2:54:44 Modules Used In Python 2:55:38 Import Statement 2:56:09 Dir Function 2:57:19 From Import Statement 2:59:41 Reload Function 2:59:59 Important Modules Used in Python 3:19:34 Regular Expressions 3:26:19 Search and Match Function 3:27:31 Regular Expressions Applications 3:27:34 Packages in Python 3:28:18 Exception Handling 3:31:20 Catching Specific Exceptions 3:33:22 Finally Block 3:34:06 try-finally Block 3:34:22 User-Defined Exceptions 3:36:56 Introduction To NumPy and Pandas 3:38:50 - What is Data Analysis? 3:43:08 - Why Python for Data Analysis? 3:43:32 - Introduction to NumPy 4:07:33 - Reading & Writing from Files 4:09:13 - Reading & Writing from CSV Files 4:12:11 - Introduction to Pandas 4:39:12 - Introduction to Data Visualization & Matplotlib 5:00:35 - Data Manipulation 5:28:10 - Use Case ( Country-Wise Statistics) 5:32:42 - Extracting Insights from the Dataset 5:37:55 - Developing Web Maps using Folium & Pandas 5:38:13 - Problem Statement (Disaster Management Organization) 5:39:51 - Installing Folium and Pandas 5:53:00 - Problem Statement ( Titanic Data Analysis) 5:57:13 - Data Wrangling 6:23:39 - Web Scraping using Python 6:25:50 - Libraries used for Web Scraping ( Beautiful Soup) 6:27:39 - Requests library 6:32:35 - Data Visualisation on the browser 6:33:00 - Introduction to Bokeh 6:36:02 - Computer Vision using OpenCV 6:36:09 - How a computer reads an image 6:38:21 - What is OpenCV? 6:39:15 - Operations with OpenCV 6:40:09 - Load images using openCV 6:44:22 - Write Operation 6:44:51 - Face detection using OpenCV 6:55:55 - Capturing video 7:00:05 - Use Case - Motion Detector 7:00:15 - Problem Statement 7:00:38 - Solution Logic 7:11:49 - Plotting the Motion detection graph