Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]
Python Tutorial for Beginners | Full Python Course | Learn Python in 2023
💚 The Ultimate IT Beginner’s Course:
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! 💪
#python #techworldwithnana
▬▬▬▬▬▬ S P E C I A L O F F E R 🎉 ▬▬▬▬▬▬
Want to try PyCharm Professional Edition? JetBrains provided me with a 100% discount code! 🙂
With “PYCHARMFORDEVOPS“ you can try PyCharm Professional for 3-month!
► Use this code at:
► Valid until Jan 1, 2026
► Thanks JetBrains for making this course possible! 🙌🏼
► Check out their all-in-one collaboration solution: Space! Get started for free:
▬▬▬▬▬▬ U S E F U L L I N K S 🔗 ▬▬▬▬▬▬
► GitLab Source Code:
► file:
► PyCharm Download:
► Python Installation Steps for Windows - Important click “Add to PATH“ #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
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