Path 01 · 25 Lessons · 3 Modules

Foundations

This path introduces foundational Python programming constructs, including primitive types, collections, control flow, functions, file I/O, error handling, and object-oriented design, alongside essential data layout and coordinate conventions used across bioinformatics.

Start PathEnter

By the End

Develop modular Python functions with robust file input/output and exception handling
Select appropriate built-in data structures based on computational requirements
Interpret and transform tabular data between tidy and wide representations

Progress

0/25

Python Exception TracebackInterpreter standard error on unbound identifier

Traceback (most recent call last):
  File "<cell>", line 3, in <module>
    print(len(seq))
NameError: name 'seq' is not defined

Python Basics

Foundational Python programming covering data types, collections, control flow, functions, file input/output, exception handling, and object-oriented design.

13 lessons · 13 graded

Variables and Types3 Strings3 Lists2 Dictionaries3 Conditionals4 Loops3 Functions3 Comprehensions2 Reading and Writing Files2 Errors and Exceptions3 Modules and Imports3 Command-Line Arguments3 Classes3Intermediate

Core Concepts

Essential computational and biological principles including data normalization, coordinate system conventions, and package version management.

6 lessons · 6 graded

Library Versions4 Coordinate Systems4 Ecosystem Map4 Glossary4 Split-Apply-Combine4 Tidy Data4

Library Overview

A comparative architectural survey of the scientific Python ecosystem to guide library selection for specific computational biology workflows.

6 lessons

Biopython Matplotlib NumPy Pandas Seaborn biocommons.hgvs

Next PathPython Data Stack