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Python All-In-One

English · Paperback / Softback

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Informationen zum Autor John Shovic is a computer science faculty member at the University of Idaho. Alan Simpson is a web development professional and prolific tech author with over 100 publications to his credit. Klappentext Your guide to Python basics and projectsPython is a versatile and flexible programming language that's useful in almost any type of project. This all-in-one guide offers a broad reference on the basics of Python and how to employ it in a number of applications. Seven self-contained minibooks offer an introduction to Python basics! building blocks! and libraries before walking you through how Python enhances the worlds of artificial intelligence! data science! and robotics.7 Books Inside...* Getting Started with Python* Python Building Blocks* Using Python Modules and Libraries* Artificial Intelligence and Python* Data Science and Python* Talking to Hardware with Python* Robots and Python Zusammenfassung Your one-stop resource on all things PythonThanks 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 analysisThis book is perfect for anyone new to coding as well as experienced coders interested in adding Python to their toolbox. Inhaltsverzeichnis Introduction 1Book 1: Getting Started with Python 5Chapter 1: Starting with Python 7Chapter 2: Interactive Mode, Getting Help, Writing Apps 27Chapter 3: Python Elements and Syntax 49Chapter 4: Building Your First Python Application 61Book 2: Understanding Python Building Blocks 83Chapter 1: Working with Numbers, Text, and Dates 85Chapter 2: Controlling the Action 125Chapter 3: Speeding Along with Lists and Tuples 147Chapter 4: Cruising Massive Data with Dictionaries 169Chapter 5: Wrangling Bigger Chunks of Code 193Chapter 6: Doing Python with Class 213Chapter 7: Sidestepping Errors 247Book 3: Working with Python Libraries 265Chapter 1: Working with External Files 267Chapter 2: Juggling JSON Data 303Chapter 3: Interacting with the Internet 323Chapter 4: Libraries, Packages, and Modules 339Book 4: Using Artificial Intelligence in Python 353Chapter 1: Exploring Artificial Intelligence 355Chapter 2: Building a Neural Network in Python 365Chapter 3: Doing Machine Learning in Python 393Chapter 4: Exploring More AI in Python 415Book 5: Doing Data Science with Python 427Chapter 1: The Five Areas of Data Science 429Chapter 2: Exploring Big Data with Python 437Chapter 3: Using Big Data from the Google Cloud 451Book 6: Talking to Hardware with Python 469Chapter 1: Introduction to Physical Computing 471Chapter 2: No Soldering! Grove Connectors for Building Things 487Chapter 3: Sensing the World with Python: The World of I2C 505Chapter 4: Making Things Move with Python 537Book 7: Building Robots with Python 565Chapter 1: Introduction to Robotics 567Chapter 2: Building Your First Python Robot 575Chapter 3: Programming Your Robot Rover in Python 595Chapter 4: Using Artificial Intelligence in Robotics 623Index 647...

List of contents

Introduction 1Book 1: Getting Started with Python 5Chapter 1: Starting with Python 7Chapter 2: Interactive Mode, Getting Help, Writing Apps 27Chapter 3: Python Elements and Syntax 49Chapter 4: Building Your First Python Application 61Book 2: Understanding Python Building Blocks 83Chapter 1: Working with Numbers, Text, and Dates 85Chapter 2: Controlling the Action 125Chapter 3: Speeding Along with Lists and Tuples 147Chapter 4: Cruising Massive Data with Dictionaries 169Chapter 5: Wrangling Bigger Chunks of Code 193Chapter 6: Doing Python with Class 213Chapter 7: Sidestepping Errors 247Book 3: Working with Python Libraries 265Chapter 1: Working with External Files 267Chapter 2: Juggling JSON Data 303Chapter 3: Interacting with the Internet 323Chapter 4: Libraries, Packages, and Modules 339Book 4: Using Artificial Intelligence in Python 353Chapter 1: Exploring Artificial Intelligence 355Chapter 2: Building a Neural Network in Python 365Chapter 3: Doing Machine Learning in Python 393Chapter 4: Exploring More AI in Python 415Book 5: Doing Data Science with Python 427Chapter 1: The Five Areas of Data Science 429Chapter 2: Exploring Big Data with Python 437Chapter 3: Using Big Data from the Google Cloud 451Book 6: Talking to Hardware with Python 469Chapter 1: Introduction to Physical Computing 471Chapter 2: No Soldering! Grove Connectors for Building Things 487Chapter 3: Sensing the World with Python: The World of I2C 505Chapter 4: Making Things Move with Python 537Book 7: Building Robots with Python 565Chapter 1: Introduction to Robotics 567Chapter 2: Building Your First Python Robot 575Chapter 3: Programming Your Robot Rover in Python 595Chapter 4: Using Artificial Intelligence in Robotics 623Index 647

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