Greetings, Earthling! Welcome to The Hitchhiker’s Guide to Python.
This is a living, breathing guide. If you’d like to contribute,fork us on GitHub!
This handcrafted guide exists to provide both novice and expert Pythondevelopers a best practice handbook for the installation, configuration, andusage of Python on a daily basis.
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This guide is opinionated in a way that is almost, but not quite, entirelyunlike Python’s official documentation. You won’t find a list of every Python web frameworkavailable here. Rather, you’ll find a nice concise list of highly recommendedoptions.
Note
Manually Opening a Socket and Sending the HTTP Request. The most basic way to perform. Web scraping is an easy way to collect data from a website.This Python web scraping tutorial provides a step by step approach to scraping the web and analyzi.
The use of Python 3 is highly recommended over Python 2. Consider upgrading your applications and infrastructures if you find yourself still using Python 2 in production today. If you are using Python 3, congratulations — you are indeed a person of excellent taste.—Kenneth Reitz
Let’s get started! But first, let’s make sure you know where your towel is.
Getting Started with Python¶
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New to Python? Let’s properly setup up your Python environment:
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- Picking a Python Interpreter (3 vs 2)
- Properly Install Python on your system:
- Using Virtualenvs with Pipenv:
- Pipenv & Virtual Environments
- Lower level: virtualenv
Python Development Environments¶
This part of the guide focuses on the Python development environment,and the best-practice tools that are available for writing Python code.
- Your Development Environment
- Pipenv & Virtual Environments
- Lower level: virtualenv
- Further Configuration of pip and Virtualenv
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Writing Great Python Code¶
This part of the guide focuses on the best-practices for writing Python code.
- Structuring Your Project
- Code Style
- Documentation
- Testing Your Code
- Logging
- Common Gotchas
Scenario Guide for Python Applications¶
This part of the guide focuses on tool and module advice based ondifferent scenarios.
- 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
Shipping Great Python Code¶
This part of the guide focuses on sharing and deploying your Python code.
- Publishing Your Code
- Packaging Your Code
- Freezing Your Code
Additional Notes¶
This part of the guide, which is mostly prose, begins with somebackground information about Python, and then focuses on next steps.
- Introduction
- The Community
- Learning Python
- Documentation
- News
Note
Notes defined within all diatonic and chromatic musical scales have beenintentionally excluded from this list of additional notes. Additionally,this note.
Contribution notes and legal information (for those interested).
- Contribute
- The Guide Style Guide