Learn Python in 5 Hours

In this complete Python course you will learn everything you need to get started with Python.
By the end of this course, you will have a good understanding of the concepts and hands-on experience with several demo projects you can follow along.

Python is the most popular programming language out there and it is used for so many different industries, like: Web Development, Data Science, Machine Learning and DevOps Automation. So learning Python is definitely a good idea!

▬▬▬▬▬▬ U S E F U L L I N K S ▬▬▬▬▬▬
► GitLab Source Code: https://gitlab.com/nanuchi/python-programming
► Inventory.xls file: https://gitlab.com/nanuchi/python-programming/-/tree/master/spreadsheet
► PyCharm Download: https://www.jetbrains.com/pycharm/download/?section=windows
► Python Installation Steps for Windows – Important click “Add to PATH” https://docs.python.org/3/using/windows.html#installation-steps

▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
0:00 – Course Intro & Course Overview
2:53 – Introduction to Python
07:01 – Installation and Local Setup with PyCharm
14:10 – Write our first Python program
15:33 – Python IDE vs simple File Editor
19:04 – Strings and Number Data Types
30:11 – Variables in Python
39:33 – Encapsulate Logic with Functions
54:00 – Scope
59:50 – Accepting User Input
1:15:28 – Conditionals (if / else) and Boolean Data Type
1:44:18 – Error Handling with Try / Except
1:50:11 – While Loops
2:02:43 – Lists and For Loops
2:21:51 – Thanks JetBrains!
2:23:17 – Comments in Python
2:27:23 – Sets
2:38:31 – Built-In Functions
2:44:25 – Dictionary Data Type
3:01:32 – Modularize your project with Modules
3:20:09 – Project: Countdown App
3:40:27 – Packages, PyPI and pip
3:54:06 – Project: Automation with Python (Working with Spreadsheets)
4:44:02 – Object Oriented Programming: Classes and Objects
5:14:35 – Project: API Request to GitLab
5:30:23 – Wrap Up