Volume II continues the journey from competent programming to independent practice and intelligent systems. It opens the world beyond a single file - networks, APIs, databases, automation, visualisation, and deployment - and then turns Python and AI into partners in learning and problem solving. Across Chapters 52-100 you will build web and data applications, negotiate HTTP, JSON, and APIs, manage data stores, automate workflows, and apply Python to science, computation, and machine learning. You will learn to use AI as a tutor, collaborator, critical reviewer, and pair programmer - always within declared boundaries and with verification as the final authority. Every chapter begins with purpose, boundary, contents, learning aims, and reasons for care. You will predict, test, inspect, and explain. You will keep the smallest test that can change your mind. You will treat elegant explanations as proposals until evidence confirms them. Write the prediction. Run the test. Earn the result.
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