Welcome to Episode 2 of my Python for Bioinformatics series 🎬

In this episode, we’ll explore Python data types and why they’re essential in bioinformatics workflows.

You’ll learn:
✅ What data types are (string, integer, float, boolean)
✅ How to use them with DNA sequences, gene counts, and GC content
✅ Why mixing data types incorrectly causes errors
✅ How to avoid bugs in your bioinformatics scripts

This series is designed for absolute beginners in Python for biology, helping you build a solid foundation step by step.

📌 Previous video (Episode 1: Variables in Python | For Bioinformaticians) link: https://youtu.be/pnN0e3-Cp6c

📌 Next video (Episode 3: Integers in Python | For Bioinformaticians) link: https://youtu.be/krmdKhFUBrk

📂 Jupyter Notebook for this episode: https://github.com/python-for-bioinformatics/beginner/blob/main/data_types.ipynb

If you find this helpful, don’t forget to like, share, and subscribe for upcoming episodes 🚀

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