Python Full Course - 12 Hours | Python For Beginners - Full Course | Python Tutorial | Edureka

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šŸ”µš„šš®š«šžš¤šš šš²š­š”šØš§ š‚šØš®š«š¬šž (Use Code "š˜šŽš”š“š”šš„šŸšŸŽ"): https://www.edureka.co/python-programming-certification-training This Edureka "šš²š­š”šØš§ š…š®š„š„ š‚šØš®š«š¬šž" video will help you learn the Python programming language and core python concepts with examples from scratch. This Python for Beginners tutorial will cover all the python programming fundamentals such as data types, collections, loops, modules, oops concepts, functions, operators and much more. Below are the topics covered in this Python for beginners full course video: 00:00 Introduction to Python Full Course 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 Python Learning Path 9:15 Python Career Opportunities 10:30 How does Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is a Python Developer? 19:20 Python Developer Job Trends 21:55 How to Become a Python Developer? 23:05 Who is a Python developer? 44:30 Python Roadmap 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 Specialized 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 in Python 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 in Python 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 9:50:58 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 10:43:28 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 šŸ”“ š‹šžššš«š§ š“š«šžš§šš¢š§š  š“šžšœš”š§šØš„šØš š¢šžš¬ š…šØš« š…š«šžšž! š’š®š›š¬šœš«š¢š›šž š­šØ š„šš®š«šžš¤šš š˜šØš®š“š®š›šž š‚š”ššš§š§šžš„: https://2ly.link/1w69F šŸ”¹ Edureka Python Tutorial Playlist: https://goo.gl/WsBpKe šŸ”¹ Edureka Python Tutorial Blogs: https://bit.ly/2ychSCq Edureka Python Courses šŸ”µ Python Programming Certification: http://bit.ly/37rEsnA šŸ”µ Python Certification Training for Data Science: http://bit.ly/2Gj6fux šŸ”µ Python Masters Program: https://bit.ly/2Yqpsmr For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18338555775 (toll-free).

Chapters

What is Python?
What is Python?
1 min
Why is Python popular?
Why is Python popular?
1 min
Features of Python
Features of Python
2 min
Learning Path
Learning Path
1 min
Career Opportunities
Career Opportunities
1 min
Introduction to NETFLIX
Introduction to NETFLIX
11 min
Who Is a Python Developer?
Who Is a Python Developer?
24 min
Why Should You Learn Python?
Why Should You Learn Python?
6 min
Development Environments
Development Environments
6 min
Features of an IDE
Features of an IDE
10 hour 56 min
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