Phase 1 — Foundations
Module 05

Python — Bioinformatics Focus

Extend your Python basics into bioinformatics-specific tools. pandas and NumPy handle large genomics tables. Biopython reads FASTA and FASTQ files. argparse lets you build command-line tools like the pros.

Weeks 6–7Timeline
~12 hrsStudy time
FREEAlways
What you'll learn

Topics covered in this module

pandas · NumPy
matplotlib · seaborn
Biopython
argparse CLI scripts

📋 Not sure where this fits? Module 05 is part of the full bioinformatics curriculum — a structured 42-week learning path from Bash to single-cell RNA-seq.

See full curriculum →
Lessons

10 lessons in this module

01Python Setup & Jupyter for BioinformaticsLive →
02Python Basics — Variables, Lists, DictsComing soon
03File I/O — Reading FASTA & FASTQ FilesComing soon
04String Operations on DNA/RNA SequencesComing soon
05NumPy & Pandas for Genomic DataComing soon
06Biopython — Core ToolsComing soon
07Parsing VCF & GFF FilesComing soon
08Plotting with Matplotlib & SeabornComing soon
09Writing Reusable Bioinformatics ScriptsComing soon
10Capstone: End-to-End Sequence Analysis PipelineComing soon

Lesson 1 is live.

Lesson 1 — Python Setup & Jupyter for Bioinformatics is ready to read now. The remaining 9 lessons are being built, each with exercises, datasets, and a GitHub repository you push as proof of skill. Sign up to be notified as they go live.

Start Lesson 1 →

05
Module 05 of 31