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搜罗Py万物 的周刊 亲, 正如曰过的, TEE 会有的, 现在 来了 这一次,我们增加了长袖T恤的选择,以及一个连帽衫. 所以, 挑一件 上身, 展现 Pythonista 的爱! 大家多分享文章 俺们才折腾的出又一周的美好呢. 喜欢就 在 Gratipay 支持俺们吧! 当然的,俺们也在twitter 原文: Pycoder’s Weekly (Issue #142): Shirts ...

ImportPython 原文: 该读 ~ 文章, Blog, 教程… Why Python Just Wasn’t Enough for AppsFlyer » At AppsFlyer we actually started our code base in Python. Two years later this wasn’t enough to handle the growing number of users and requests. We started to encounter issues like one of the critical Python processes taking too long to digest the incoming messages, caused mainly by string manipulations and Python’s own memory management system. PyData Silicon Valley 2014 » Detailed Recap of PyData 2014 conference. Is Using Virtualenv Really A Good Idea For Production Django Applications? » A New Django developer raises questions on the default production workflow that’s followed in the Django Community. Build a Reddit Bot Part 1 » Five Part Series on Building a Reddit Bot. Part 1 and 2 are complete. The Bot currently reads posts from reddit and replies to the post. How To Run Flask on Gondor » Gondor offers Managed Python hosting with command-line deployment and support. Here is how to run flask based apps. Flask for the Masses » Web Development Flask for the Masses - Flask Step By Step Tutorial. Scientific Python Tips and Tricks » This guide aims to ease that process a bit by showing tips and tricks within Python for those coming from MATLAB background. OAuth Authentication with Flask » Complete Flask application that implements “Sign In with Facebook” and “Sign In with Twitter” functionality. USA County Health Rankings IPython Notebook » IPython notebook for creating CSV files used for choropleth maps that show health rankings data. An Introduction to the Python Buffer Protocol » Python buffer protocol, also known in the community as PEP 3118, is a framework in which Python objects can expose raw byte arrays to other Python objects. This can be extremely useful for scientific computing, where we often use packages such as NumPy to efficiently store and manipulate large arrays of data. OpenStack Orchestration In Depth, Part II: Single Instance Deployments » 代码 ~ 包/模块/库/片段… ...

搜罗Py万物 的周刊 亲, 大家多分享文章 俺们才折腾的出又一周的美好呢. 喜欢就 在 Gratipay 支持俺们吧! 当然的,俺们也在twitter 原文: Pycoder’s Weekly (Issue #141): Sweater Weather 新闻 Motor 0.3.4 发布 Motor 0.3.4 版 包含 Python 和 Tornado 的 MonogoDB 异步驱动! 已经释放, 你值得拥有. emptysqua.re Shared by @mgrouchy boto3 0.0.1 - 开发预览版 Boto3 的预览版释放了, 但是,想用在生产环境中,请三思. python.org Shared by @mgrouchy Python-FOSDEM 2015 官方议案征集开始 Python-FOSDEM 2015 官方议案征集 截止12月1号前, 想参加,或是有什么想吼的, 及时提交吧! python-fosdem.org Shared by @PythonFOSDEM 讨论 TkInter: 还能用卟? reddit.com Shared by @myusuf3 (是也乎: 仅仅从回复数量就可以看出, Tk 没死,好好儿的, 对于那些颜控而言, 可能 Tk 上世纪的脸无法忍受, 但是,对于实时控制情景下的高速响应 GUI, Tk 给了我们一个真正可用的短桟绘制库,丑,但是,好用! ) 项目 genty genty 专注性能测试, 每个案例可以接受多种输入. 实话有点不明觉厉, 但折腾一下很得趣. github.com Shared by @myusuf3 500 行或更少 Awesome repository of how things work with computers and software. I am sure we have shared this before but its definitely worth another look. 超赞的仓库, 对理解软件/计算机是如何工作的很有帮助. 之前分享过, 但是,实在忍不住再分享一次! github.com Shared by @myusuf3 (是也乎: 真格! 各种语言快速实现的各种领域问题的 最小解决方案. ) pywsd 很漂亮的工具, 说漂亮是因为能简洁的完成 词义消歧(WSD). 具体实例参看 README github.com Shared by @myusuf3 (是也乎: 进行自然语言处理的实用库, 当然,对 E文… ) fplutil 一组对 Android 以及其它平台开发非常有用的库和工具. github.com Shared by @mgrouchy timesketch 实验中的开源概念工具, 配合时间线的协同工具, 通过分析协同人的时间线,给出最合适的安排. github.com Shared by @myusuf3 ssh-ident 针对不同的项目管理不同的代理的不同公匙, 哗,这可非常实用. github.com Shared by @mgrouchy pyrecord 对你 Python 代码的 结构/记录 类型增强. github.com Shared by @mgrouchy GoogleScraper 允许你通过代理来挖掘 Google 搜索引擎的库 github.com Shared by @mgrouchy django-project-template 协助你以正确的姿势开始 Django 1.7 的项目. github.com Shared by @jpadilla_ PyGeoIpMap COOL 的, 用一个脚本,来将 IP 标定在地图上! github.com Shared by @mgrouchy (是也乎: 用这个工具来追踪 功夫网的实体位置,不要太轻松呢. ) 文章 Django 构建实时接口 Fanout 团队分享了一篇非常详实的文章, 就是有关如何在 Django 中创造实时接口. fanout.io Shared by @myusuf3 用 Pandas 对 Excel 进行差异对比 如何使用 panda 制造自个儿的工具来对比 Excel . pbpython.com Shared by @myusuf3 用 Django 和 AngularJS 构建 Web App. 终于有一篇详进的指南了! 如何用 Django 和 AngularJS 构建 Web App. 你, 值得细读. thinkster.io Shared by @mgrouchy (是也乎: 真心详进, 给出了 88 个检查点! ) 反向 Geocode 一组坐标对应 城市+国家 有用的教程! 学习如何使用谷歌的反向地理编码API; geoffboeing.com Shared by @mgrouchy DRY 表单 和 django-crispy-forms 帮助你开始使用 Django-crispy-forms 的教程, 同时保持你原先的 DRY . github.io Shared by @mgrouchy 用 RAKE 和 Maui 进行 NLP 关键词提取 非常详细的教程, 有关如何使用 RAKE 和 Maui 进行 NLP 关键词提取! airpair.com Shared by @@elldudley DAMA (大妈私人无责任播报) PS: ...

原文: issue8 该读 ~ 文章, Blog, 教程… Google super-cryptic challenge to recruit new developers. » Reported that searching for terms like “python lambda syntax” and “mutex lock” brings up an invite to compete some challenge questions. Scraping cheap airline tickets » It all started with a bet long time ago. One of my friends couldn’t believe that it is actually possible nowadays to travel around the world with low-cost airlines.I think I won. With some python help and many hours of coding I was able to find all the necessary tickets and stay below the price criterion. Do Not Disturb. » Python: A little misunderstanding can create the ultimate “do not disturb” sign. Using Pandas To Create an Excel Diff » I am going to walk through a real world example of how to use pandas to automate a process that could be very difficult to do in Excel. My business problem is that I have two Excel files that are structured similarly but have different data and I would like to easily understand what has changed between the two files. Basically, I want an Excel diff tool. Data Science with Hadoop - predicting airline delays. » Every year approximately 20% of airline flights are delayed or cancelled, resulting in significant costs to both travellers and airlines. As our example use-case, we will build a supervised learning model that predicts airline delay from historial flight data and weather information. Building Web Applications with Django and AngularJS » This tutorial you will build a simplified Google+ clone called “Not Google Plus” with Django and AngularJS. A Python Toolbox » “In this post I’ll share some tools I use to ease and speed-up my workflow, either in the Python code or in the development environment.” Supervised Learning: Support Vector Machines » The support vector machine (SVM) is a classification method that attempts to find a hyperplane that separates classes of observations in feature space. In contrast to some other classifications methods we have seen (e.g. Bayesian), the SVM does not invoke a probability model for classification; instead, we aim for the direct caclulation of a separating hyperplane. 代码 ~ 包/模块/库/片段… ...