Python for Data & AI: The Complete Hands-On Masterclass

Learn Python by building the real thing. Python for Data & AI: The Complete Hands-On Masterclass takes you from Python foundations to working data pipelines and machine-learning models — every concept paired with runnable code you can adapt to your own projects.

You'll start with the Python skills that matter for data work, then master the core stack: NumPy for numerical computing at scale, pandas for data wrangling and analysis, and Matplotlib and Seaborn for visualisation. From there you'll put scikit-learn to work on real machine-learning workflows — training, evaluation, hyperparameter tuning, and model interpretation — before pulling everything together in an end-to-end, real-world data project.

Fully current for the modern toolchain — Python 3.14, NumPy 2.4, pandas 3.0 (Copy-on-Write on by default), Matplotlib 3.10, and scikit-learn 1.9 — the book closes with a glossary, package-version setup notes, quick-reference cheat sheets, and further-reading appendices.

You will learn to: - Write clean, idiomatic Python for data work — functions, iteration, file and data formats - Compute at scale with NumPy arrays and vectorisation - Load, clean, reshape, and analyse data with pandas DataFrames - Build clear, publication-quality charts with Matplotlib and Seaborn - Train, evaluate, tune, and interpret models with scikit-learn - Assemble a complete, real-world data pipeline from raw data to results

Whether you're starting out or sharpening your toolkit, this hands-on masterclass gets you building fast.