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3 个仓库

Awesome GitHub RepositoriesPython Language Resources

Curated collections and guides for learning the Python programming language.

Explore 3 awesome GitHub repositories matching part of an awesome list · Python Language Resources. Refine with filters or upvote what's useful.

Awesome Python Language Resources GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • vinta/awesome-pythonvinta 的头像

    vinta/awesome-python

    303,207在 GitHub 上查看↗

    这是一个全面的、由社区策划的目录,组织了庞大的 Python 软件库、框架和工具生态。它作为一个中心化知识库,旨在促进生态导航并加速开发者在整个软件开发生命周期中的发现过程。 该目录通过提供按技术领域分类的结构化资源索引脱颖而出,范围从基础开发工具到专业工程领域。它涵盖了人工智能、数据科学、Web 开发和基础设施管理等高级能力,使开发者能够为特定的技术挑战识别经过验证的解决方案。 该项目涵盖了广泛的能力领域,包括依赖管理、静态代码分析和自动化测试工具。它还编目了用于持久数据存储、云基础设施编排和接口开发的资源,为构建和维护复杂软件系统提供了统一的参考。

    Comprehensive list of Python frameworks, libraries, and software.

    Pythonawesomecollectionspython
    在 GitHub 上查看↗303,207
  • hemanth/functional-programming-jargonhemanth 的头像

    hemanth/functional-programming-jargon

    18,644在 GitHub 上查看↗

    This project is an educational resource for functional programming education, focused on teaching core concepts and terminology through simple definitions and practical code examples. It provides a way to study fundamental vocabulary and illustrative examples to assist with the transition from imperative to functional programming. The resource serves as a reference for building a professional software engineering vocabulary, enabling more effective communication of technical terms used within the functional paradigm. The site is implemented using static site generation, utilizing markdown co

    Glossary of functional programming terminology for developers.

    fpfunctional-programming
    在 GitHub 上查看↗18,644
  • amontalenti/elements-of-python-styleamontalenti 的头像

    amontalenti/elements-of-python-style

    3,489在 GitHub 上查看↗

    This project is a comprehensive Python style guide and technical reference designed to promote the creation of clean, maintainable, and idiomatic code. It provides a set of opinionated guidelines and architectural patterns focusing on functional and declarative programming to reduce complexity and improve overall code quality. The guide establishes specific standards for naming conventions, module organization, and project layout. It emphasizes reducing object coupling by favoring modules and functions over deep class hierarchies and offers technical standards for writing docstrings and marku

    Guidelines and best practices for writing idiomatic Python code.

    code-stylecodestyledocumentation
    在 GitHub 上查看↗3,489
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