Software Development

The mental muscles that come before syntax. Compact, deliberately not encyclopedic. Learn to decompose problems, reason about state, and read code you did not write — the three skills every programmer uses every day regardless of language.

• Computational Thinking(12 concepts)
• Reading and Reasoning About Code(9 concepts)

Depth-first Python. One language, learned well, is worth five languages learned shallowly. Covers syntax and types, functions and scope, the collection types you use every day, and the handful of I/O and error skills that turn a script into a useful tool. Python chosen for readability, AI-era relevance, and the fact that almost every downstream skill in this curriculum can be demonstrated in it.

• Python Fundamentals(18 concepts)
• Functions and Modularity(12 concepts)
• Collections and Data Shaping(14 concepts)
• Errors, Types, and I/O(14 concepts)

Scripts become software here. Version control so your work survives mistakes, OOP so code scales past a single file, tests and debugging so you can change code without fear, and design-for-change habits that separate throwaway code from code you can live with in six months.

• Design for Change(13 concepts)
• Object-Oriented Programming(11 concepts)
• Version Control with Git(13 concepts)
• Testing and Debugging(14 concepts)

The mile between 'works on my laptop' and 'users are using it.' Command line, a real web app, a real database, a real deploy — plus the 2026 meta-skill: working with AI assistants without letting them put garbage in your codebase. Security basics are woven in, not bolted on.

• Deploying and Observing(14 concepts)
• Working with Databases(14 concepts)
• AI-Assisted Development(13 concepts)
• Building a Web App(16 concepts)
• The Command Line and Your Environment(12 concepts)