欢迎阅读《pythonista周刊》第455期。Let us start 原文: https://mailchi.mp/pythonweekly/python-weekly-issue-455 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！ ...
DjangoCon US 2020 取消了 原文: PyCoder’s Weekly - Issue #426 200624 Zoom.Quiet(大妈) 用时 42 分钟 完成快译 200624 Zoom.Quiet(大妈) 用时 37 分钟 完成格式转抄. 动手线性编程: 用 Python 进行优化 REAL PYTHON In this tutorial, you’ll learn about implementing optimization in Python with linear programming libraries. Linear programming is one of the fundamental mathematical optimization techniques. You’ll use SciPy and PuLP to solve linear programming problems. (是也乎: 线性规划, 经典的最优解区域寻定方法, 当然, 这得在具体问题场景中才有意义. ) OpenSafely: 用 Python/SQL和Docker 理解冠状病毒健康数据 JO BEST Django and Payton developers teamed up with clinicians and researchers to release a new analytics platform called OpenSafely that allows researchers to analyze NHS health records from over 24 million people In the UK. With strict safety and privacy standards, OpenSafely may help redefine how medical data is analyzed and shared. PEP 618 已为 Python 3.10 接受：向 zip() 添加可选长度检查 PYTHON.ORG PEP 618, which adds a new strict parameter to the built-in zip() function that optionally enforces same-length iterables, has been accepted for Python 3.10. Read the acceptance letter here and some interesting discussion about the PEP on Reddit. Pickle 的九个缺点 NED BATCHELDER “Python’s pickle module is a very convenient way to serialize and de-serialize objects. It needs no schema, and can handle arbitrary Python objects. But it has problems. This post briefly explains the problems.” (是也乎: 腌菜V5, 无论有多不健康, 好用才是王道. 当然, 有更好的推荐了: marshmallow(软糖推荐) , cattrs , protocol buffers , 等等 ) PyLadies 印度踏上征途 ANWESHA DAS On June 20th, 2020 PyLadies India held their first Meetup featuring a talk by CPython Core Contributor Mariatta Wijaya. Organizer Anwesha Das recounts her PyLadies journey and the steps the organization took to make the meetup a reality. (是也乎: 印度就是猛哪… ) 用 Let’s Encrypt 保护容器化 Django 应用程序的安全 TESTDRIVEN.IO • Shared by Jan Giacomelli Secure a containerized Django app running behind an HTTPS Nginx proxy with Let’s Encrypt SSL certificates. 在为 pandas 贡献时学到的高级pytest技术 MARTIN WINKEL Contributing to open-source projects is a great way to learn new techniques and level up your skills. Martin Winkel shares five advanced pytest techniques he learned while contributing to the pandas project. (是也乎: 每一个高速发展的大型开源项目中, 测试部分, 都是精巧的艺术品. ) NumPy 1.19.0 现已可用 NUMPY.ORG Version 1.19.0 drops support for Python 3.5 and below, including Python 2. (是也乎: Pandas 真正的内核以及英雄… ) 2020 年 Python 软件基金会董事会选举结果 PYTHON SOFTWARE FOUNDATION DjangoCon US 2020 取消了 DJANGO SOFTWARE FOUNDATION 讨论 Discussions ...
欢迎阅读《pythonista周刊》第454期。Let us start 原文: https://mailchi.mp/pythonweekly/python-weekly-issue-454 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！ ...
令机器学习投入生产 原文: PyCoder’s Weekly - Issue #425 200617 Zoom.Quiet(大妈) 用时 42 分钟 完成快译 200617 Zoom.Quiet(大妈) 用时 37 分钟 完成格式转抄. 令机器学习投入生产 VICKI BOYKIS Millions of web apps get deployed to production every day. But machine learning models aren’t web apps. And very few people are talking about deployment. Learn how tools like Streamlit can help take the edge off deploying your machine learning models. Python 生成器介绍 REAL PYTHON course In this step-by-step course, you’ll learn about generators and yielding in Python. You’ll create generator functions and generator expressions using multiple Python yield statements. You’ll also learn how to build data pipelines that take advantage of these Pythonic tools. (是也乎: ) 皮尤研究中心的 Python 库 PATRICK VAN KESSEL The Pew Research Center’s Data Labs team has open sources two Python libraries for wrangling files and cleaning up text documents. (是也乎: 目测, 这个研究库, 马上将被和谐. ) 异步 Python 并不快 CAL PATERSON Performance optimization is a tricky subject and silver bullets are rare. This article shines a light on some of the common misconceptions around async Python, like “async is always faster.” Related discussion on Hacker News. (是也乎: 初学者困境… 就是非常容易被这种看似公允的测试说明相信一个断言. 真实场景中： 1、异步 web 服务器不可使用 reverse proxy，因为 async server 性能高于 reverse proxy。瓶颈位置在 reverse proxy 和 wsgi 层而非 web server。使用 reverse proxy 是因为多线程 context 切换成本高，开不了很多，所以需要一个能无限开 context 的异步服务器（nginx）挡在前面。而本身异步的服务器不需要。 2、异步 web server 不可使用 connection pool 和消息队列，因为无论是协程还是纯单线程异步，协程数和连接数都用不完。由于不存在多线程或者多进程的 context 切换成本，导致只能起有限的线程数，所以需要连接池。异步的连接数用不完，所以不需要连接池，否则会成为瓶颈。 3、异步服务器在并发数超过 1000 时才会明显体现出来，sync 服务器即使在使用 reverse proxy 的情况下由于中间的代理损耗也很难处理 1000 以上的并发。我在对异步服务器做性能测试的时候，是测试程序先挺不住，真实测试异步服务器的性能的技术含量不低，初学者做不到。 这篇作品槽点太多，先说以上几点。一个个讲过来，要打一天的字。 <– 摘录隔壁群中对此文章的部分观点. 简单说, 对异步和协程的理解, 文章测试出发点就有问题. ) ...