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Python All-in-One For Dummies

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作者
John C. Shovic、Alan Simpson
出版社
John Wiley
ISBN
9781394236152
出版日期
2024/04

簡介

Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programming Reference all the essentials and the latest updates, so your code is air-tight Learn how Python can be a solution for large-scale projects and big datasets Accelerate your career path with this comprehensive guide to learning Python Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

目錄

Introduction 1 Book 1: Getting Started 7 Chapter 1: Starting with Python 9 Chapter 2: Using Interactive Mode, Getting Help, and Writing Apps 21 Chapter 3: Python Elements and Syntax 37 Chapter 4: Building Your First Python Application 45 Book 2: Understanding Python Building Blocks 65 Chapter 1: Working with Numbers, Text, and Dates 67 Chapter 2: Controlling the Action 109 Chapter 3: Speeding Along with Lists and Tuples 131 Chapter 4: Cruising Massive Data with Dictionaries 155 Chapter 5: Wrangling Bigger Chunks of Code 181 Chapter 6: Doing Python with Class 203 Chapter 7: Sidestepping Errors 239 Book 3: Working with Libraries 257 Chapter 1: Working with External Files 259 Chapter 2: Juggling JSON Data 297 Chapter 3: Interacting with the Internet 317 Chapter 4: Libraries, Packages, and Modules 335 Book 4: Using Artificial Intelligence 351 Chapter 1: Demystifying Artificial Intelligence 353 Chapter 2: Building a Neural Network 363 Chapter 3: Doing Machine Learning 393 Chapter 4: Playing Around with AI on Cards, Sticks, and in the Cloud 415 Book 5: Doing Data Science 427 Chapter 1: Understanding the Five Areas of Data Science 429 Chapter 2: Exploring Big Data 437 Chapter 3: Using Big Data from Google Cloud 453 Book 6: Talking to Hardware 471 Chapter 1: Introducing Physical Computing 473 Chapter 2: No Soldering! Using Grove Connectors for Building 489 Chapter 3: Sensing the World 503 Chapter 4: Making Things Move 525 Book 7: Building Robots 553 Chapter 1: Introducing Robotics 555 Chapter 2: Building Your First Python Robot 563 Chapter 3: Programming Your Robot Rover 583 Chapter 4: Using Artificial Intelligence in Robotics 611 Index 649

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