Python interpreters are available for many operating systems. A global community of programmers develops and maintains CPython, a free and open-source reference implementation. A non-profit organization, the Python Software Foundation, manages and directs resources for Python. Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, TensorFlow. A multi-user version of the notebook designed for companies, classrooms and research labs.
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 to the installation, configuration, andusage of Python on a daily basis.
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. Apple mac new version. Rather, you'll find a nice concise list of highly recommendedoptions.
Note
The use of Python 3 is highly preferred over Python 2. Consider upgrading your applications and infrastructure 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
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Getting Started with Python¶
New to Python? Let's properly setup up your Python environment:
- 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. Cinematize pro 2 03 crack.
- Your Development Environment
- Pipenv & Virtual Environments
- Lower level: virtualenv
- Further Configuration of pip and Virtualenv
Writing Great Python Code¶
This part of the guide focuses on the best-practices for writing Python code. Macs green apple.
- 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¶
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This part of the guide, which is mostly prose, begins with somebackground information about Python, and then focuses on next steps.
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- 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).
Idle Python Download
- Contribute
- The Guide Style Guide
