Python all-in-one:

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 gre...

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Beteiligte Personen: Shovic, John C. (VerfasserIn), Simpson, Alan 1953- (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Hoboken, NJ John Wiley & Sons, Inc. [2024]
Ausgabe:3rd edition
Schriftenreihe:For dummies
Learning made easy
Schlagwörter:
Zusammenfassung: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 PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python
Beschreibung: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
Umfang:xviii, 682 Seiten Illustrationen 666 gr
ISBN:9781394236152