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.