Python Algorithm Lab

Extensive Python and data structures/algorithms learning repository.

This repo has two jobs:

• preserve the original course/practice archive under ITP/, DSA/, and revision/
• provide a clean, tested reference layer under src/dsa/ for optimized implementations

Structure

DSA/ original DSA practice files
ITP/ introduction-to-python practice files
revision/ merged revision material
src/dsa/ clean reference implementations
tests/ tests for reference implementations
docs/
learning-roadmap.md
problem-index.md

Clean Reference Implementations

pytest

Current reference modules:

• src/dsa/searching.py
• src/dsa/sorting.py
• src/dsa/stack.py
• src/dsa/queue.py

Learning Philosophy

For every topic:

1. Understand the brute-force approach.
2. Write the simple implementation.
3. Optimize time and space complexity.
4. Add tests for edge cases.
5. Document the pattern in docs/problem-index.md.

Status

This is the primary home for Python algorithm, DSA, and revision work.

Next upgrade: expand edge-case tests and add time/space complexity notes for each clean implementation in src/dsa/.