🔥 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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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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