Learning python artificial intelligence de montgomery richard (14 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

paperback. Condición: New.

Condición: New.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Volume II continues the apprenticeship begun in Volume I. It starts where a learner who can writesmall Python programmes must begin to negotiate with the world outside a single file: networks, datastores, automation, applications, professional risks, scientific computation, agents, repositories, andsystems that must remain understandable after their first successful run.Chapters 52-72 extend Python into web and data work, then turn the same language upon theeducational relationship with artificial intelligence. The learner meets a tutor, exercise generator, examiner, debugger, reviewer, refactoring assistant, documentation translator, and pair programmer.The governing question is not whether an AI system can produce a plausible answer. It is whether thelearner can predict, execute, verify, and explain the result.Chapters 73-92 mark the passage from protected apprenticeship to independent programming andthen to agentic Python. Algorithms, performance, concurrency, object design, internals, scientificcomputing, machine learning, repositories, multi-agent workflows, and capstone projects are treated asaccountable practices. Each presentation page states the chapter's purpose, boundary, contents, learningaims, and reason for care before the technical work begins.Chapters 93-100 enter expert practice. Large projects, source reading, professional review, teaching, research, domain work, lifelong learning, and independence are not presented as a ceremonialgraduation. They are recurring forms of responsibility. The appendices, conclusion, glossary, bibliography, and Index of words remain part of the same continuous manuscript, so that the reader canmove from an idea to a procedure, from a procedure to evidence, and from evidence back to a betterquestion.The volume is therefore best read actively. Write the prediction before asking for assistance. Keepthe smallest test that could change your mind. Treat an elegant explanation as a proposal until theprogramme, the calculation, or the record supports it. The machine may accelerate the apprenticeship; itcannot own the understanding.What changes in Volume IIVolume II is not simply a longer list of Python topics. It is a change in the scale and moraltemperature of the work. A programme now speaks across a network, writes to a database, modifies arepository, controls a workflow, or supports a decision made by another person. The technical actremains important, but it is no longer sufficient. The learner must name the boundary, the authority, thefailure route, and the evidence by which success will be recognised.How to read the chaptersEvery chapter opens with a presentation page. Read it as a contract rather than as advertising: itidentifies the chapter's contents, what the learner should be able to do, and why the material matters.The body then alternates explanation, equations, code, diagrams, worked examples, exercises, anddirection checks. The recurring discipline is deliberate: predict first, use AI within a declared boundary, execute the smallest useful test, inspect the result, and explain what the evidence does and does notshow.The scale of responsibilityThe later chapters do not ask the learner to become suspicious of every tool. They ask for a betterdistinction between assistance and authority. An AI system may propose a query, a test, a refactoring, areview finding, a retrieval result, a plan, or a patch. The learner still decides whether the proposal isrelevant, safe, supported, reversible, and understood. That is why the volume returns so often toprovenance, tests, permissions, rollback, explain-back, and the right to Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. Neuware.

Condición: New. Print on Demand.

Paperback. Condición: 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.…

Taschenbuch. Condición: 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. …

Paperback. Condición: 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.…

Taschenbuch. Condición: 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.…

Paperback. Condición: 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.…

Taschenbuch. Condición: 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. …