Your AI roadmap

Day 1: Variables, Types, Print & Input

Write your first real Python programs—store data, print it, and talk to the user.

Day 2: Loops & Conditionals

Make decisions with if/elif/else, then repeat work with for and while loops.

Day 3: Functions

Package logic into reusable functions with parameters, return values, and clean defaults.

Day 4: Lists, Dicts & Tuples

Store collections of data with lists, key-value dicts, and immutable tuples.

Day 5: Object-Oriented Python

Model real-world ideas with classes, objects, methods, and simple inheritance.

Day 6: Files & Errors

Read and write text files safely, and handle failures with try/except.

Day 7: Virtual Environments & Git

Isolate project dependencies with venv, and version your code with Git & GitHub.

Day 8: Strings & Text Processing

Slice, clean, and format text—skills you’ll reuse in every NLP and data pipeline later.

Day 9: Sets & Collection Patterns

Use sets for uniqueness and fast membership, then combine lists, dicts, and sets in real recipes.

Day 10: Modules, Imports & Standard Library

Organize code with imports, reuse the standard library, and structure projects into modules.

Day 11: Debugging & Problem-Solving

Read tracebacks, isolate bugs with prints and checks, and break problems into clear steps.

Day 12: Project: Calculator

Build a CLI calculator with functions, a looped menu, and solid input validation.