Episode 3: Integers in Python | For Bioinformaticians

Welcome to Episode 3 of my Python for Bioinformatics series 🎬

In this episode, we’ll explore integers—one of the most important Python data types you’ll use all the time in bioinformatics.

You’ll learn:
✅ What integers are (whole numbers, no decimals)
✅ How to define integers in Python with real bioinformatics examples (read counts, sequence length, mutation position)
✅ Basic integer operations: addition, subtraction, division, comparison
✅ Why integers are essential for filtering, calculations, and loops in your bioinformatics workflows

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

📌 Previous video (Episode 2: Data Types Introduction | For Bioinformaticians) link: https://youtu.be/_XblnOrFt1M

📌 Next video link (Episode 4: Floats in Python | For Bioinformaticians) link: https://youtu.be/2PNS6X5oVns

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

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

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