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Learn Python Through Code: Minimal Theory Maximum Practice (Learn AI & Machine Learning in Python Book 1)
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- Learn Python Through CodeMinimal Theory. Maximum Practice.Master Python from the ground up and build the skills that power AI, machine learning, automation, data science, and modern software development.Python isn't just another programming language. It's the language behind ChatGPT, machine learning, data science, automation, web development etc. Whether your goal is becoming a professional software engineer, automating everyday tasks, analyzing data, or building AI applications, every journey begins with one essential skill: a solid understanding of Python.Learn by writing code not by memorizing theory.What You'll LearnPart 1 — Build a Strong Python Foundation - Chapters 1-15The first half of the book focuses on mastering the Python language itself.Variables and data typesNumbers and mathematical operationsStrings and text processingLists, dictionaries, tuples, and setsConditional statements and loopsStructural pattern matchingFunctions and reusable codeReading and writing filesModules and packagesException and DebuggingWorking with databasesNetworking & APIPackaging and DeploymentPart 2 — Learn the Python Used in Real Projects - Chapters 16-23You'll move beyond the basics into python advance features. 2 AI Chapters and 1 for Automation. Last 5 chapters are optional(advanced level only). Command-line automationMachine learning fundamentalsFunctional programmingData structures and algorithmsThreading and multiprocessingMetaprogrammingIterators and generators200+ Hands-On ExercisesProgramming is a skill developed through practice.That's why almost every chapter includes 10 carefully designed coding exercises, giving you more than 230 exercises across the book. To make learning even easier, complete solutions for every exercise are available in the accompanying GitHub repository.Written for Modern PythonThis book covers modern Python features introduced through Python 3.12, including:Structural Pattern MatchingType HintsDataclassesContext ManagersF-stringsAsync programmingException GroupsModern packagingCurrent best practicesThe examples follow clean, readable, production-quality Python code that reflects how professionals write software today.Who This Book Is ForThis book is ideal if you are:A complete beginner learning your first programming languageA student studying computer science or software engineeringA self-taught programmer wanting a structured Python guideA data analyst wanting stronger Python skillsA software engineer preparing for technical interviewsAnyone looking for a comprehensive Python referenceNo previous Python experience is required.By the time you finish, you'll have a strong Python foundation, practical project experience, and the confidence to continue into specialized areas such as machine learning, artificial intelligence, web development, automation, cloud computing, or backend engineering.If you're looking for a practical, comprehensive, and modern guide to Python that teaches real programming skills—and prepares you for the rapidly growing world of AI and Machine Learning—Learn Python Through Code is the book to start with.
| Publication date | August 2, 2026 |
| Language | English |
| File size | 5.8 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 1011 pages |
| Page Flip | Enabled |
| Book 1 of 4 | Learn AI & Machine Learning in Python |
| Item Weight | 1.5 lbs (680 grams) |
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Learn Python Through Code: Minimal Theory Maximum Practice (Learn AI & Machine Learning in Python Book 1)
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