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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Richard Murdoch Montgomery, MD, PhD, is a physician, neurologist, and mathematician whose work ranges across clinical neuroscience, mathematical sciences, computing, economics, and the history and philosophy of science. He is the author of more than one hundred scientific and technical books published through the Scottish Science Society, including extended treatises on scientific and financial calculators, graduate mathematics, artificial intelligence, data science, physics, biology, medicine, and intellectual history by The Scottish Science Society. His books favour derivation, practical method, and conceptual continuity over abbreviated instruction or itemisation. A result is not merely displayed; it is earned, tested, and placed within the argument that gives it meaning. This combination of clinical experience, mathematical discipline, and long-form scholarship informs both his teaching and his writing.
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Paperback. Zustand: new. Paperback. 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. A rigorous second volume carrying Python learners from competent programming into APIs, databases, automation, visualization, deployment, machine learning, and disciplined AI-assisted problem solving. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798906680198
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 498 pp. Englisch. Bestandsnummer des Verkäufers 9798906680198
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Paperback. Zustand: new. Paperback. 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. A rigorous second volume carrying Python learners from competent programming into APIs, databases, automation, visualization, deployment, machine learning, and disciplined AI-assisted problem solving. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798906680198
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9798906680198
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Paperback. Zustand: new. Paperback. 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. A rigorous second volume carrying Python learners from competent programming into APIs, databases, automation, visualization, deployment, machine learning, and disciplined AI-assisted problem solving. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798906680198
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Taschenbuch. Zustand: Neu. Learning Python with Artificial Intelligence | Richard Murdoch Montgomery | Taschenbuch | Englisch | 2026 | Scottish Science Society | EAN 9798906680198 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136291893
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