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Your one-stop resource on all things Python Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python in app development, web development, data science, machine learning, and even in coding education classes. There's almost no type of project that Python can't make better. From creating apps to building complex websites to sorting big data, Python provides a way to get the work done. Python All-in-One For Dummies offers a starting point for those new to coding by explaining the basics of Python and demonstrating how it's used in a variety of applications. * Covers the basics of the language * Explains its syntax through application in high-profile industries * Shows how Python can be applied to projects in enterprise * Delves into major undertakings including artificial intelligence, physical computing, machine learning, robotics and data analysis This book is perfect for anyone new to coding as well as experienced coders interested in adding Python to their toolbox.

Python All-in-One For Dummies

Introduction 1

Book 1: Getting Started with Python 5

Chapter 1: Starting with Python 7

Chapter 2: Interactive Mode, Getting Help, Writing Apps 27

Chapter 3: Python Elements and Syntax 49

Chapter 4: Building Your First Python Application 61

Book 2: Understanding Python Building Blocks 83

Chapter 1: Working with Numbers, Text, and Dates 85

Chapter 2: Controlling the Action 125

Chapter 3: Speeding Along with Lists and Tuples 147

Chapter 4: Cruising Massive Data with Dictionaries 169

Chapter 5: Wrangling Bigger Chunks of Code 193

Chapter 6: Doing Python with Class 213

Chapter 7: Sidestepping Errors 247

Book 3: Working with Python Libraries 265

Chapter 1: Working with External Files 267

Chapter 2: Juggling JSON Data 303

Chapter 3: Interacting with the Internet 323

Chapter 4: Libraries, Packages, and Modules 339

Book 4: Using Artificial Intelligence in Python 353

Chapter 1: Exploring Artificial Intelligence 355

Chapter 2: Building a Neural Network in Python 365

Chapter 3: Doing Machine Learning in Python 393

Chapter 4: Exploring More AI in Python 415

Book 5: Doing Data Science with Python 427

Chapter 1: The Five Areas of Data Science 429

Chapter 2: Exploring Big Data with Python 437

Chapter 3: Using Big Data from the Google Cloud 451

Book 6: Talking to Hardware with Python 469

Chapter 1: Introduction to Physical Computing 471

Chapter 2: No Soldering! Grove Connectors for Building Things 487

Chapter 3: Sensing the World with Python: The World of I2C 505

Chapter 4: Making Things Move with Python 537

Book 7: Building Robots with Python 565

Chapter 1: Introduction to Robotics 567

Chapter 2: Building Your First Python Robot 575

Chapter 3: Programming Your Robot Rover in Python 595

Chapter 4: Using Artificial Intelligence in Robotics 623

Index 647