Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]

► Grab your free IT Fundamentals Roadmap: https://bit.ly/3GV5Noy 💚 Hands-On course to learn the complete SDLC - from code to deployment: https://bit.ly/43gOF3f Python Tutorial for Beginners | Full Python Course | Learn Python 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: https://www.jetbrains.com/store/redeem/ ► 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: https://www.jetbrains.com/space/ ▬▬▬▬▬▬ 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 ► 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 ▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬ Full Docker course ► https://youtu.be/3c-iBn73dDE Full K8s course course ► https://youtu.be/X48VuDVv0do DevOps Tools, like Terraform ► https://bit.ly/2W9UEq6 GitHub Actions CI/CD ► https://youtu.be/R8_veQiYBjI ▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬ INSTAGRAM ► https://bit.ly/2F3LXYJ TWITTER ► https://bit.ly/3i54PUB LINKEDIN ► https://bit.ly/3hWOLVT ▬▬▬▬▬▬ Courses & Bootcamp 🚀 ▬▬▬▬▬▬ ► Become a DevOps Engineer - full educational program 👉🏼 https://bit.ly/45mXaer ► High-Quality and Hands-On Courses 👉🏼 https://bit.ly/3BNS8Kv