🐍 Python Random Cheatsheet

This repository contains my personal Python cheatsheets collected during my learning journey, organized as Jupyter Notebooks. The goal is to provide a practical, example-driven, quick-reference resource rather than a full tutorial.

The content starts with core Python concepts and gradually touches topics useful for bioinformatics and computational biology, including Biopython.

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🎯 Target Audience

• Python beginners and early-intermediate learners
• People who prefer learning through code examples
• Users working with Jupyter Notebook / VS Code / Colab
• Students interested in bioinformatics, data science, or scientific computing

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📂 Repository Structure

Each notebook focuses on a specific topic and can be used independently as a cheatsheet.

🧩 Core Python

• cheatsheet_1.ipynb – Python basics, variables, and simple operations
• cheatsheet2.ipynb – Strings and basic string manipulation
• cheatsheet3.ipynb – Lists, tuples, and sets
• cheatsheet4.ipynb – Dictionaries and key–value operations
• cheatsheet5.ipynb – Conditional statements and logical flow
• cheatsheet6.ipynb – Loops and iteration patterns

🧪 Libraries & Applied Topics

• cheatsheet7_biopython.ipynb – Introduction to Biopython: sequences, FASTA files, and basic parsing
• cheatsheet8.ipynb – Useful built-in functions and common Python patterns
• cheatsheet9.ipynb – Miscellaneous Python tips and reminders

Notebook names may evolve as the repository becomes more structured.

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🚀 How to Use

1. Clone the repository:

   git clone https://github.com/etaniie/python-random-cheatsheet.git

2. Open with Jupyter Lab / Jupyter Notebook / VS Code

3. Browse notebooks based on the topic you need

4. Use them as quick syntax reminders or lightweight practice material

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📌 Notes

• This repository is learning-oriented, not production code
• Examples are intentionally short and focused
• Content may grow and be reorganized over time

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🔮 Future Improvements

• Renaming notebooks with numbered, topic-based names
• Adding short introductions at the top of each notebook
• Providing a condensed Markdown/PDF cheatsheet
• Expanding bioinformatics-related examples

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🤝 Contributions

Suggestions and improvements are welcome via issues or pull requests.

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📎 Author: Ecenur Karagöl