Additional Resources

Python foundations

The Python Fundamentals track is adapted from Al Sweigart's Automate the Boring Stuff with Python (3rd edition), used with thanks under its Creative Commons license.

• Automate the Boring Stuff with Python (3rd ed.) open access The free online book this track is based on. Practical Python for total beginners.
• The Python Tutorial (official docs) open access The authoritative language tutorial, straight from python.org.
• Real Python In-depth, practical Python tutorials (mix of free and paid).
• Invent with Python (Al Sweigart) open access All of Al Sweigart's Python books, free to read online.

Data wrangling, SQL & tools

• pandas documentation open access The user guide and API for the library behind most data work here.
• Kaggle Learn open access Short, hands-on micro-courses: Python, pandas, ML, and more.
• SQLBolt open access Interactive lessons that teach SQL from the ground up in the browser.
• SQLZoo open access Practice SQL against real queries, in increasing difficulty.
• Pro Git (book) open access The complete, free Git reference — from basics to internals.
• GitHub Skills open access Guided, interactive courses on Git and GitHub workflows.
• pytest documentation open access The standard Python testing framework used in our Testing chapter.

Machine learning core

• scikit-learn documentation open access User guide and API for classic ML in Python.
• scikit-learn MOOC (Inria) open access A full course taught by the library's core developers, with notebooks.
• Google Machine Learning Crash Course open access Concepts plus interactive exercises — a great companion to our ML chapters.
• StatQuest with Josh Starmer open access Clear, intuitive video explanations of ML and statistics concepts.

Deep learning & neural networks

• fast.ai — Practical Deep Learning for Coders open access A top-down, code-first course in PyTorch, with a free companion book.
• Dive into Deep Learning (d2l.ai) open access An interactive book with math, figures, and runnable code.
• 3Blue1Brown — Neural Networks open access Beautifully animated intuition for how neural networks learn.
• PyTorch tutorials open access Official, hands-on tutorials for the framework used in our labs.

Computer vision

• Stanford CS231n open access The classic course notes on convolutional networks for visual recognition.
• CNN Explainer open access An interactive visualization of a CNN classifying images, layer by layer.

Transformers & LLMs

• The Illustrated Transformer (Jay Alammar) open access The clearest visual walkthrough of attention and the transformer block.
• Hugging Face Learn open access Free courses on transformers, NLP, and building with LLMs.

Interactive & visual explainers

The diagrams across this site take inspiration from these.

• MLU-Explain open access Interactive, visual explanations of core ML concepts (ROC, precision/recall, and more).
• A Visual Introduction to Machine Learning (R2D3) open access A scrollytelling introduction to decision trees and model fitting.
• TensorFlow Playground open access Train a small neural network in your browser and watch it learn.
• Distill open access Deeply interactive articles on machine learning concepts.

Agile & ways of working

Primary sources and practical guides for the sprint cycle covered in the Agile chapter.

• The Agile Manifesto open access The original four values and twelve principles behind Agile — short and worth reading in full.
• The Scrum Guide (2020) open access The canonical ~13-page definition of Scrum: roles, events, and artifacts.
• Atlassian Agile Coach open access Practical, example-driven tutorials on sprints, stand-ups, backlogs, and retrospectives.
• Scrum.org — What is Scrum? open access A clear overview of the framework with free knowledge assessments to test yourself.
• Mountain Goat Software — Intro to Agile & Scrum open access Mike Cohn's accessible explanations of user stories, planning, and sprint ceremonies.