Bio for Devs_
Biology for people who think in code
A complete guide to molecular and cell biology for software developers entering bioinformatics and computational biology — with real code examples and computational analogies throughout.
Computational Analogies
Every biological concept is paired with a software equivalent. DNA is source code. Proteins are executables. The cell membrane is a firewall.
Real Code Examples
Each part ends with a practical chapter using Biopython, NetworkX, MNE-Python, and other bioinformatics tools.
Progressive Depth
From cell basics to computational neuroscience and ML in biology — structured like a well-architected codebase.
Software Developers
Transitioning into biotech, genomics, or healthtech and need the biology foundation.
Data Scientists
Working with biological datasets and need to understand what the numbers actually mean.
ML Engineers
Building models on genomics, protein structures, or brain signals and need domain context.
Researchers
Coming from biology and want to deeply understand the computational side of their field.