Python for data¶
Python is the lingua franca of data and ML: not because it is the fastest language, but because it lets you glue together compiled, vectorized numerical kernels (NumPy, Arrow, LLVM-JIT-compiled query engines) behind a readable, dynamically-typed surface. This chapter covers the parts an engineer actually leans on day to day: reproducible environments & packaging, the numeric stack (NumPy, pandas, polars), performance (vectorization, memory, parallelism — with the arithmetic behind each claim), and the correctness habits (typing, testing, seeds, schema validation) that keep data pipelines trustworthy. …
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