Learn Python
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16. Interacting with APIs with Python.zip
101.1 MB
16. Interacting with APIs with Python
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17. Decorators in Python.zip
107 MB
17. Decorators in Python
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18. Advanced Object-Oriented Programming.zip
145.2 MB
18. Advanced Object-Oriented Programming
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19. GUI Development with Tkinter.zip
338.9 MB
19. GUI Development with Tkinter
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20. Unit testing with Python.zip
203 MB
20. Unit testing with Python
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21. Algorithms and Data Structures.zip
441.3 MB
21. Algorithms and Data Structures
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22. Python libraries.zip
199.6 MB
22. Python libraries
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23. Python Reference Refresher - Part 01.zip
443.3 MB
23. Python Reference Refresher - Part 01
23. Python Reference Refresher - Part 02.zip
218.3 MB
23. Python Reference Refresher - Part 02
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24. Bonus Section.zip
4.5 MB
24. Bonus Section
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πŸ³οΈβ€πŸŒˆ Learning Python for science is
βœ… with these 8 awesome GitHub repos!


πŸ–₯ Repo: Project Based Learning

πŸ’¬ One of the most famous educational repos with 230K+ stars that implements various algorithms and projects using Python.

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πŸ–₯ Repo: Real Python Materials

πŸ’¬ Supplementary resources and exercises including project-based tutorials, guides, and practical exercises.

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πŸ–₯ Repo: Learn By Doing

πŸ’¬ Project-based tutorials in AI and machine learning for all levels.

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πŸ–₯ Repo: Awesome Jupyter

πŸ’¬ A curated collection of notebooks, tools, and powerful libraries for working with Jupyter.

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πŸ–₯ Repo: Python Mini Projects

πŸ’¬ A collection of mini-projects like games and small apps that you can quickly run and practice.

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πŸ–₯ Repo: 100Projects of Code

πŸ’¬ An educational challenge including 100 real projects; you practice and see your progress day by day.

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πŸ–₯ Repo: Data Science Projects

πŸ’¬ Practical ideas and examples to start data science with Python.

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πŸ–₯ Repo: Python Project Scripts

πŸ’¬ Small and large scripting projects, from beginner to advanced levels.
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πŸ”° Pandas Cheat Sheet

Pandas is a non-negotiable skill for anyone working with dataβ€”whether you’re a Data Analyst, Data Scientist, or Machine Learning Professional.


When I first started learning Pandas, I often felt lost navigating its diverse functions and concepts. If that sounds like you, this cheat sheet is the perfect guide to simplify your Pandas learning journey!

✨ Here’s what you’ll find inside:
βœ”οΈ Revisiting the basics
βœ”οΈ Prepping for data manipulation challenges
βœ”οΈ Cleaning and transforming messy datasets
βœ”οΈ Mastering advanced operations like groupby, merging, and time series

🚨 Remember: Pandas is the engine behind effective data wrangling.
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πŸ”° Pandas Cheat Sheet
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πŸ”° Pandas Cheat Sheet
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