RUNZE NI / notes

README

Home
Fotos
Protocols
Notes
Misc

Display

Home / Notes / Python notes

On this page Sections

← All notes

On this page

Scientific computing

Python notes

A compact field guide to readable Python, reliable scientific data work, bioinformatics, and the omics tools I use.

5 modules

1 Core Python that stays readable The small set of language patterns I need to turn an idea into a clear, reusable program.
2 Reliable scientific data work Environments, project structure, arrays, tables, statistics, figures, and tests without hidden state.
3 Bioinformatics without hidden assumptions Practical patterns for biological formats, omics tables, provenance, and workflows that remain auditable.
4 The omics stack I actually use The current proteomics and bulk RNA-seq toolchains, plus a sample-aware blueprint for future scRNA-seq work.
5 Useful Python commands, from first check to deep diagnosis A practical command ladder for running, inspecting, testing, debugging, profiling, and automating Python without losing track of the environment.

Explore

Fotos
Protocols
Notes
Misc

Connect

Google Scholar
GitHub
LinkedIn

© 2026 Runze Ni.

Tampa, FL