欢迎阅读《pythonista周刊》第447期。Let us start 原文: https://mailchi.mp/pythonweekly/python-weekly-issue-447 翻译：Dustyposa 来自赞助商（PS：原文的赞助商）: python开发者都需要的Vettery Vettery是一个招聘网站，它改变了人们应聘或者雇佣的方式。准备好换工作地方了吗？免费制作简历，你的薪资你说了算，现在就和顶级雇主的HR联系吧！ ...
Pandas DataFrame: 使处理数据令人愉快 原文: PyCoder’s Weekly - Issue #418 200429 Zoom.Quiet(大妈) 用时 42 分钟 完成快译 200429 Zoom.Quiet(大妈) 用时 37 分钟 完成格式转抄. Python 2 最后的发布标志叕一个时代的终结 RYAN DONOVAN The final version of Python 2 has been released. As the Python community looks forward to the new era, Ryan Donovan from the Stack Overflow Blog takes some time to reflect on the transition and points out that, while support for Python 2 from official channels may be gone, the language isn’t dead. In fact, there’s reason to believe it will live on for decades to come. (是也乎: 再次: 不会的, Python 2.x 足以用到下个10年… ) 你应该了解的 Python 3.9 新特性 MARTIN HEINZ • Shared by Martin Heinz Python 3.9 is scheduled for release on May 10, 2020, and it’s packed full of new goodies. Explore these new features in this overview by Martin Heinz, including new dict operators, updates to the math module, new string methods, a functools.ToplogicalSorter class, and more! (是也乎: 实话, 并不想知道… 一个语言不是靠追加越来越多特性存活的… ) Python pickle 模块: 如何在 Python 中保存对象 REAL PYTHON In this tutorial, you’ll learn how you can use the Python pickle module to convert your objects into a stream of bytes that can be saved to a disk or sent over a network. You’ll also learn the security implications of using this process on objects from an untrusted source. (是也乎: pickle 绝对是 Python 内建模块中最迷人的一个, 谁都忍不住溢用她… ) 收集指导委员会问答的问题 PYTHON.ORG As part of PyCon US 2020, the Python Steering Council will record a Q&A. They are soliciting questions from the community, so here’s your chance to get your burning questions answered! (是也乎: 很认真, 也很无奈… ) 构造 Python 应用 (通用布局) REAL PYTHON course This course is a reference guide to common Python application layouts and project structures for command-line applications, web applications, and more. (是也乎: 的确, Python 程序其实,非常 八股文的… 输入->处理->输出, 没了… ) 讨论 Discussions ...
欢迎阅读《pythonista周刊》第446期。Let us start 原文: https://mailchi.mp/pythonweekly/python-weekly-issue-446 翻译：Dustyposa 来自赞助商（PS：原文的赞助商）: 使用 Datadog 监控你的python指标，日志，集群分析。使用Datadog的应用分析，可以深入任何纬度并且能找到你所需要的信息，来进行动态诊断和快速故障排除。来免费试用 14 天吧！ ...
可以在 Zoom/Skype 中使用的替身 原文: PyCoder’s Weekly - Issue #417 200422 Zoom.Quiet(大妈) 用时 42 分钟 完成快译 200422 Zoom.Quiet(大妈) 用时 37 分钟 完成格式转抄. pip 20.1b1 发布, 包含新依赖性解析器 GITHUB.COM/PYPA The beta release of pip version 20.1 has dropped and included the next-generation dependency resolver! The resolver is currently turned off by default because it’s unstable and not ready for everyday use. The pip mainainters do encourage users to try it out, however, and feedback on the new resolver can be submitted by filling out a survey. (是也乎: 不过默认关闭着… ) Python 软件基金会新闻: 谢谢捐赠/赞助者 PSF BLOG “Thanks to [the] generosity of individual and corporate donors and decreasing PyCon 2020 expenses, we estimate that the PSF will now only need $141,713 from its financial reserve to get through 2020.” (是也乎: 嗯哼? 老爹在任时, 从没见这种嗯哼? ) Python 内建 Pathlib 其实很棒 REDOWAN DELOWAR • Shared by Redowan Delowar Python 3’s pathlib module has taken some time to gain traction since it was introduced in Python 3.4. After all, the os.path module had been the de facto tool for working with paths in Python. Why change code that works? Learn why pathlib is a better choice for working with file paths in Python in this thorough tutorial. Pytest 实效 Python 测试 REAL PYTHON In this tutorial, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain. (是也乎: 不过, 传统场景还是 unittest 为先吧? ) Python 2.7.18, 一个时代的终结 BENJAMIN PETERSON “Python 2.7.18 is a special release. I refer, of course, to the fact that ‘2.7.18’ is the closest any Python version number will ever approximate e, Euler’s number. Simply exquisite!” (是也乎: 放心, 俺一定会忠诚再用 42 年的… ) Python 编码面试: 提示和最佳做法 REAL PYTHON course Learn how to take your Python coding interview skills to the next level and use Python’s built-in functions and modules to solve problems faster and more easily. (是也乎: 关键还是用Python的内置函数和模块哪… ) 讨论 Discussions ...