🔥 Huge cheat sheet for plotting in Matplotlib with code examples

📊 Matplotlib is a powerful plotting library in Python used for creating static, animated, and interactive visualizations.

Main features of Matplotlib:
💬 Versatility: can generate a wide range of plots including line plots, scatter plots, bar charts, histograms, and pie charts.

💬 Customization: offers extensive options to control every aspect of the plot such as line styles, colors, markers, labels, and annotations.

💬 Integration with NumPy: easily integrates with NumPy, simplifying plotting of data arrays directly.

💬 Publication quality: creates high-quality plots suitable for publication, with precise control over aesthetics.

💬 Extensibility: easily extended with a large ecosystem of additional toolkits and extensions, such as Seaborn and Pandas plotting functions.

💬 Cross-platform: platform-independent and can run on various operating systems including Windows, macOS, and Linux.

💬 Interactive plots: supports interactive plotting with widgets and event handling, allowing users to dynamically explore data.

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Matplotlib Cheatsheet (⭐️⭐️⭐️⭐️⭐️)

https://t.me/CodeProgrammer 😡

🔥 A huge collection of the 17 best GitHub repositories for learning Python.

Perfect for those who want to level up from print('Hello') to advanced projects.


😰 Let's go:
1. 30-Days-Of-Python — a 30-day Python challenge covering the basics of the language.

2. Python Basics — simple and clear Python basics for beginners.

3. Learn Python — a topic-based guide with examples and code.

4. Python Guide — best practices, tools, and advanced topics.

5. Learn Python 3 — an easy-to-understand guide to Python 3 with practice.

6. Python Programming Exercises — 100+ Python exercises.

7. Coding Problems — algorithmic problems, perfect for interview prep.

8. Project-Based-Learning — learn Python through real projects.

9. Projects — ideas for practical projects and skill improvement.

10. 100-Days-Of-ML-Code — a step-by-step guide to Machine Learning in Python.

11. TheAlgorithms/Python — a huge collection of algorithms in Python.

12. Amazing-Python-Scripts — useful scripts from automation to advanced utilities.

13. Geekcomputers/Python — a collection of practical scripts: networking, files, automation.

14. Materials — code, exercises, and projects from Real Python.

15. Awesome Python — a top list of the best frameworks and libraries.

16. 30-Seconds-of-Python — short snippets for quick solutions.

17. Python Reference — life hacks, tutorials, and useful scripts.

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