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Python All-in-One For Dummies, 3rd Edition eBook (PDF) bis 28. Mai kostenlos auf TradePub

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Everything you need to know to get into Python coding, with 7 books in onePython 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.

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

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