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Useful Youtube channel with short screencast/videos for Python developers to subscribe to. I learned on couple of sublime + Python tricks from here.


细心为 Pythonista 收集整理的油管频道, 包含了 subl+py 的技巧演示... )

This Dockerfile shows you how to build a Docker container with a fairly standard and speedy setup for Django with uWSGI and Nginx.

I have read some interesting Python tutorials lately. I would love to share them with you.

Kyoukai is a fast asynchronous Python server-side web framework. It is built upon asyncio and the Asphalt framework for an extremely fast web server.


Kyōkai (境界) 嗯哼,因为日语有完全可发音的罗马形式,所以,总是被选为工程名嘛?!

也使用了 Blueprintslink 进行扩展,基本上就是 flask 的异步简化版本. )

We recently upgraded our 160,000 lines of backend Python code from Python 2 to Python 3. We did with zero downtime and no major errors! Here’s how we did it, hopefully it will help anyone else still stuck on Python 2!


终于有人成功尝试了, 一次性将 16万行 py2 代码升级为 py3 的...


你信嘛?!反正俺相信了. )

Bangalore user group meet with Python Automation as the theme


看人家的 meetup 在讨论什么... 看人家的环境比我们也没有高哪儿去哪 )

Kickstarter Campaign for wxPython Cookbook.


现在什么都能众筹了哪... )

What happens when you take a tech-driven online fashion company that is experiencing explosive growth and infuse it with a deep open-source mission? You'll find out on this episode of Talk Python To Me. We'll meet Lauri Apple and Rafael Caricio from Zalando where developers there have published almost 200 open source projects on Github.


可以下载 mp3 的播客, 有关 Fashion-driven


来自 Womens Shoes & Fashion | ZALANDO.CO.UK 团队


Xoobn3zf_400x400 推荐 Machine learning at the new Microsoft

以及专属 rap Developers, Developers, Developers )

There are many ways to handle permissions in a project. For instance we may have model level permissions, object level permissions, fine grained user permission or role based. Either way we don't need to be writing any of those from scratch, Django ecosystem has a vast amount of permission handling apps that will help us with the task. In this post we will compare how some popular permission apps work so you know which one suits your project needs.

Do you know what they are? If you are thinking of irrigation circles, you are wrong. Do not believe the lies of the conspirators. Those are, undoubtedly, proofs of extraterrestrial visitors on earth. As I want to be ready for the first contact I need to know where these guys are working. It should be easy with so many satellite images at hand. So I asked the machine learning experts around here to lend me a hand. Surprisingly, they refused. Mumbling I don’t know what about irrigation circles. Very suspicious. But something else they mentioned is that a better initial approach would be to use some computer-vision detection technique. Note - Code is here


标题党... )

Hopefully this post gave you some insight into why you should consider giving Python a go. This post is coming from someone who feels “guilty” for talking not so good about Python in the past and is now all over the hype train. In my defense, it was just a “personal preference thing”, when people asked me about which language they should learn first, for instance, I usually suggested Python.


嗯哼, 一切鳮汤都抵不上一个确切的职位... )


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A Python interface to AFL, allowing for easy injection of testcases and other functionality.


AFL 又一个模糊测试框架的又一个接口 )

Intel Engine Firmware Analysis Tool

Python on Pebble

Tensorflow Demo for my TF in 5 Min Video on Youtube

A whoosh-based CLI indexer and searcher for your files.


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