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Learning Python opens the door to a world of programming possibilities.
From AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology.
Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done.
In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.
Distilling his experience drawn from over two decades of working with Python and other programming languages, Robert’s clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer.
It doesn’t matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python—Robert’s step-by-step approach, complete with a hands-on companion Python video game project, is the perfect starting point to master Python fundamentals!
Python QuickStart Guide is Perfect for:
Python QuickStart Guide Explains
You Will Learn
*Lifetime Access To Free Python Programming Digital Assets*In addition to the follow-along Python game included with the exercises in the book, Python QuickStart Guide comes with a library of references and cheat sheets to help you go beyond the book and get the most out of your Python learning experience.
QuickStart Guides are books for beginners, written by experts.
Introduction
Chapter 1: Getting to Know Python
Chapter 2: Understanding Python Data Structures
Chapter 3: Controlling Program Flow
Chapter 4: Handling Errors
Chapter 5: Creating Reusable Tasks with Functions
Chapter 6: Classes
Chapter 7: Inheritance and Design Patterns
Chapter 8: Saving Time with Dataclasses
Chapter 9: Reusing Code with Modules and Packages
Chapter 10: Advanced Strings
Chapter 11: Math in Python
Chapter 12: Input and Output
Chapter 13: The Internet
Chapter 14: Debugging Python Code
Chapter 15: Developing Websites
Chapter 16: Interfacing with SQLite
Chapter 17: Test-Driven Development
Chapter 18: Managing Your Code with Git
Chapter 19: The Junk Drawer
Chapter 20: Optimizing Python
Chapter 21: What's Next?
Conclusion
Sujets
Informations
Publié par | ClydeBank Media LLC |
Date de parution | 30 août 2023 |
Nombre de lectures | 6 |
EAN13 | 9781636100395 |
Langue | English |
Poids de l'ouvrage | 1228 Mo |
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