MSDS 501 — Computation for Data Science (USF)

This repository contains materials and notes for the MSDS 501: Computation for Data Science course at the University of San Francisco. It includes code, data, and exercises used during the Summer 2025 bootcamp.

📂 Folder Structure

• Day1 – Class Intro, Computer Architecture, Terminal & Shell
• Day2 – Git & Version Control, Python Basics, Debugging
• Day3 – Python Data Types, Loops
• Day4 – Loops Continued, Conditional Statements
• Day5 – Functions, Unit Testing with pytest
• Day6 – File I/O, Data Aliasing
• Day7 – Programming Patterns
• Day8 – Packages, Libraries, and Modules (pending)
• Day9 – Object-Oriented Programming (pending)
• Day10 – Pythonic Style: PEP8 & PEP20 (pending)
• Data – Datasets used in assignments and examples
• StudySession – Additional review materials and examples

🧠 About This Fork

This fork tracks updates from the original course repo and includes my personal notes, saved work, and edits.

Original repo: dianewoodbridge/msds501_computation_2025

🙏 Credits

All course materials, slides, and examples were created by Professor Diane Woodbridge, University of San Francisco.

This fork is maintained by Tom Tran Jr as part of MSDS Cohort 14 (Summer 2025).