Why Python for AI?
Python is the dominant language in AI and machine learning. Its readable syntax, rich ecosystem (NumPy, Pandas, PyTorch, LangChain), and interactive tooling make it the natural choice for building intelligent systems.
Variables and Type Hints
Python is dynamically typed, but modern Python uses type hints to improve readability and catch errors early. Type hints don't enforce types at runtime — they're documentation that tools like mypy can check.
- int, float, str, bool — primitive types
- list[str] — a list of strings
- dict[str, int] — a dictionary mapping strings to integers
- Optional[str] — a string or None
Core Data Structures
Lists are ordered and mutable. Dictionaries map keys to values. Tuples are immutable sequences. Sets are unordered collections of unique elements. Choosing the right structure affects both correctness and performance.
AI tip: Most ML frameworks expect data as lists or NumPy arrays. Understanding Python's built-in structures is the foundation for working with tensors, datasets, and model inputs.
Key Takeaway
Python's type hints + core data structures (list, dict, tuple, set) form the building blocks for every AI system you'll build in this track.