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Contents of the Book

1. Getting Started with Python 3

• Picking a Python Interpreter (3 vs 2)
• Properly Installing Python
• Installing Python 3 on Mac OS X
• Installing Python 3 on Windows
• Installing Python 3 on Linux
• Installing Python 2 on Mac OS X
• Installing Python 2 on Windows
• Installing Python 2 on Linux
• Pipenv & Virtual Environments
• Lower level: virtualenv

2. Python Development Environments

• Your Development Environment
• Further Configuration of pip and Virtualenv

3. Writing Great Python Code

• Structuring Your Project
• Code Style
• Reading Great Code
• Documentation
• Testing Your Code
• Logging
• Common Gotchas
• Choosing a License

4. Scenario Guide for Python Applications

• Network Applications
• Web Applications & Frameworks
• HTML Scraping
• Command-line Applications
• GUI Applications
• Databases
• Networking
• Systems Administration
• Continuous Integration
• Speed
• Scientific Applications
• Image Manipulation
• Data Serialization
• XML parsing
• JSON
• Cryptography
• Machine Learning
• Interfacing with C/C++ Libraries

5. Shipping Great Python Code

• Packaging Your Code
• Freezing Your Code

6. Additional Notes

• Introduction
• The Community
• Learning Python
• Documentation
• News
• Contribute
• License
• The Guide Style Guide

Book Description

Let’s be honestPython can be overwhelming when you’re starting out. But what if you had a smart friend guiding you through every twist and turn? That’s where The Hitchhiker’s Guide to Python: Best Practices for Development steps in. Written by Kenneth Reitz, Tanya Schlusser, and a team of seasoned contributors, this book doesn’t just teach syntax; it shares the wisdom and shortcuts that make coding in Python a breeze. It’s packed with practical advice, real-world examples, and a sprinkle of humor that keeps things light even when the code gets heavy.

Book Overview

This guide takes you from the basics of setting up your environment to advanced topics like testing and deployment. It’s not just another dry manual; it feels more like chatting with a mentor who wants you to avoid all the common traps. If you’ve ever wondered how professionals structure their Python projects or which tools they swear by, you’ll find answers here. The book also gives nods to other great resources, such as the earlier edition of The Hitchhiker’s Guide to Python, so you can see how things have evolved over time.

Why Read This Book

Let’s face it: learning best practices often comes from making mistakeslots of them. But why suffer through that when someone else already has? This book delivers those hard-earned lessons right into your hands. You’ll learn how to write cleaner code, manage dependencies without headaches, and even impress your team with slick automation tricks. Plus, if you’re curious about other programming worlds (and who isn’t?), check out resources like A Guide to Ada for C and C++ Programmers for a broader perspective.

Who This Book Is For

If you’re a beginner who’s just installed Python or a developer looking to polish your workflowthis guide’s for you. Maybe you’ve dabbled in other languages or perhaps you’re switching careers (brave move!). Either way, the authors speak your language and never talk down to readers. You’ll find practical advice whether you code as a hobby or as part of a big project team.

What You Will Learn

• How to set up your ideal Python environment
• Best practices for organizing code and managing projects
• Tried-and-true tips on testing and debugging
• Secrets to painless dependency management
• Deploying applications like a pro
• How the pros document their code (and why it matters)
• Ways to collaborate smoothly with other developers

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