What is UCX DSA?
UCX DSA is a collection of Python classes and functions designed specifically for UC Berkeley Extension’s Computer Science X404.1: Data Structures and Algorithms course. It provides clean, readable implementations of fundamental data structures and algorithms that students can learn from and experiment with.Who is it for?
This package is built for students enrolled in UC Berkeley Extension’s Data Structures and Algorithms class. Whether you’re:- Learning your first data structures
- Experimenting with algorithm implementations
- Working through course assignments
- Building a foundation in computer science fundamentals
What makes it unique?
Unlike production-grade libraries optimized for performance, UCX DSA is designed with education as the primary goal:Readability First
Code is written to be clear and understandable, not optimized for performance
Learning-Focused
Implementations follow educational principles and common textbook approaches
Experimentation-Friendly
Easy to modify and extend for learning purposes
Educational Use Only
Not intended for production use - this is a teaching tool
This package emphasizes clarity and pedagogy over performance and optimization. It’s designed to help you understand how data structures work, not to be used in production applications.
What’s included?
The UCX DSA package includes implementations of:- Linear Data Structures: Arrays (static, dynamic, circular), Stacks, Queues, Deques, Linked Lists
- Tree Structures: Binary Search Trees, Heaps (Min/Max), Tries
- Graph Structures: Adjacency Matrix and Adjacency List implementations (weighted and unweighted, directed and undirected)
- Hash-based Structures: Hash Tables, Hash Sets
- Algorithms: Graph traversal (BFS, DFS), Dijkstra’s shortest path, Prim’s MST, Huffman encoding, and more
- Utilities: Pretty printing, graph visualization (using NetworkX), data structure generators
Philosophy
From the package’s README:“This package is designed as an educational tool for students to learn and experiment with data structures and algorithms. It is written in Python with an emphasis on readability and clarity, rather than performance or optimization. Not intended for production use.”The code prioritizes:
- Clear variable names that describe what they represent
- Straightforward logic that’s easy to follow
- Well-documented methods with docstrings
- Consistency across similar data structures
- Educational value over clever optimizations
Getting started
Ready to start using UCX DSA? Check out the Installation guide to get set up, then dive into the Quickstart tutorial for hands-on examples.View Full API Documentation
Complete API reference with detailed documentation for every class and method