Everything you need to know to get into Python coding, with 7 books in one
Python All-in-One For Dummiesis 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 Pythoneven if youre new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate 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.
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
