俺的 Python 开发环境 2020 版 原文: PyCoder’s Weekly - Issue #394 PyCoder

  • 191113 Zoom.Quiet(大妈) 用时 42 分钟 完成快译
  • 191113 Zoom.Quiet(大妈) 用时 17 分钟 完成格式转抄.

  • PSF 寻求开发商以提高 pip 品质
    • PYFOUND.BLOGSPOT.COM
    • • Shared by Brian Rutledge The Python Software Foundation Packaging Working Group is receiving funding to work on the design, implementation, and rollout of pip’s next-generation dependency resolver. Funding has been allocated to secure a senior developer and an intermediate developer, starting in December 2019 or January 2020. RFP open now through November 22.
  • 俺的Python开发环境,2020版
    • JACOB KAPLAN-MOSS The co-creator of Django explains his Python environment: “My setup pieces together pyenv, poetry, and pipx. It’s probably a tad more complex than is ideal for most Python users, but for the things I need, it’s perfect.” Related discussion on Hacker News. (是也乎: 来了, 又来了, 每年更新最具有引战体质话题… pipenv 被弃用非常明智… )
  • 何时在Python中使用列表推导
    • REAL PYTHON Python list comprehensions make it easy to create lists while performing sophisticated filtering, mapping, and conditional logic on their members. In this tutorial, you’ll learn when to use a list comprehension in Python and how to create them effectively. (是也乎: Comprehension 最讨巧也最容易滥用的技巧… 简单说: 在应该使用时 )
  • Python中的"解析"
    • ASTHASR.GITHUB.IO “Don’t be afraid to create new, more specific data types for your specific use cases. It’s okay to represent different data, used for different purposes, with different data structures, and makes later generalization easier!” (是也乎: 毕竟 Python 内置的, 而对其它对象的分析, Python 生态中工具也是最多的… 所以, 嫑怕, 放心定制自己舒服的… )
  • 使用 Keras 和深度学习发现自然灾害
    • ADRIAN ROSEBROCK In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning.
  • Python 成为 GitHub 第二受欢迎的语言
    • DEVELOPER-TECH.COM GitHub has published its latest State of the Octoverse report which provides fascinating insights into the development industry. (是也乎: 第一当然是 JAVA 了, 报告中还有其它有趣的结论: 谁是增长最快的语言? 哪个编辑器最受欢迎… 当然, 无论调查如何, 自己舒服的才是最好的. )
  • 简单便携式 Python 解释器的复杂路径
    • GLAUBER COSTA “We needed a Python interpreter that can be shipped everywhere. You won’t believe what happened next!” (是也乎: 简单说, 用专用工具来完成…别自己乱来… )
  • 那些最为低估的 Python 软件包
    • EYAL TRABELSI (是也乎: 除了 this 模块之外, 在各种领域都散落有官方一直没注意到的神奇模块, 当然, 多数都是和大数据相关的, pandas 插件, 数据清理/探索, 以及性能检测什么的… 值得逐一尝试体验… )
  • 停止使用 utcnow 以及 utcfromtimestamp
    • PAUL GANSSLE (是也乎: 简单说 datetime 才是最好的选择. )

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  • 蟒营 Python 入门班
    • 第4期
    • 101camp4py 第4期已上线, 为期6周; 191124 报名结束 191201 正式开课 200112 按时结束

是也乎

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