Python Tutorial for Beginners Learn Python in 15 Hours
#############################
Video Source: www.youtube.com/watch?v=WGJJIrtnfpk
๐ต๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐ (Use Code ๐๐๐๐๐๐๐๐๐ ): https://www.edureka.co/python-program... • This Edureka ๐๐ฒ๐ญ๐ก๐จ๐ง ๐ ๐ฎ๐ฅ๐ฅ ๐๐จ๐ฎ๐ซ๐ฌ๐ 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 • ๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ ๐จ๐ซ ๐ ๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py • ๐น Edureka Python Tutorial Playlist: https://goo.gl/WsBpKe • ๐น Edureka Python Tutorial Blogs: https://bit.ly/2ychSCq • Edureka Python Courses • ๐ต Python Programming Certification: http://bit.ly/37rEsnA • ๐ต Python Certification Training for Data Science: http://bit.ly/2Gj6fux • ๐ต Python Masters Program: https://bit.ly/2Yqpsmr • For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free).
#############################