PyCon 2011: The Data Structures of Python - PyCon US Videos - 2009, 2010, 2011 - blip.tv
Alex Gaynor Any Python programmer knows about the major builtin data strcutres, lists, dicts, tuples, but do you always remember when you're supposed to use them? Do you know about all the cool data structures hidden in the standard library? This talk will be a review of the characteristics of the different data structures, and a tour of idiomatic ways to use some of the structures in the standar
Introducing ProtoRPC for writing App Engine Web Services in Python
News, notes, tips and tricks from the Google App Engine Team Here on the App Engine team, we’re always looking for new ways to make it easier for developers to build applications and services. Today, I’m happy to introduce ProtoRPC, a new tool for creating simple Python services, which requires minimal set up and configuration to create new services. What can you use ProtoRPC web-services for? Mos
Benchmarking Go and Python Web servers
To build the Web applications I use mostly Python. An year ago I started learning Go, mainly for fun. In the meantime it turned out that I have to rewrite some old CGI application written in C, which have worked with thttpd server in chroot mode. I started searching for a tool with which I could write a standalone web application with embedded web server, easy to chroot. At the same time I started
Scaling Python for High-Load Web Sites
At Polimetrix we conduct surveys and political polls on the web at pollingpoint.com. As such, our traffic increases significantly at election time. As the 2006 election approached, we realized that our web traffic would soon be about 10x what it normally is. We set about making sure our systems could handle that load. Today we want to share some things we learned during this process. It's an inter
PyCon 2011: Using Coroutines to Create Efficient, High-Concurrency Web Applications - PyCon US Videos - 2009, 2010, 2011 - blip.tv
PyCon 2011: Using Coroutines to Create Efficient, High-Concurrency Web Applications Matt Spitz Creating high-concurrency python web applications is inherently difficult for a variety of reasons. In this talk, I'll discuss the various iterations of application server paradigms we've used at meebo, the advantages/disadvantages of each approach, and why we've settled on a coroutine-based WSGI setup
Ian Bicking: a home page
You’ve reached my homepage on the world wide web. Hello! On the internet I’m a computer programmer. Not on the internet I am also a computer programmer, but I also have a wife and two daughters. I live in Minneapolis, in the Powderhorn Park neighborhood. On the internet I live here; on social media I am active on Mastodon, Blue Sky, a little on Threads. I worked at Mozilla for 10 years until 2020,
PyCon 2011: How Dropbox Did It and How Python Helped - PyCon US Videos - 2009, 2010, 2011 - blip.tv
Rian Hunter, Engineer - Dropbox Dropbox is a startup company located in San Francisco that has probably one of the most popular file synchronization and sharing tools in the world, shipping Python on the desktop and supporting millions of users and growing every day. Dropbox uses Python on the client-side and server side as well. This talk will give an overview of the first two years of Dropbox,
A Continuous Deployment Example Setup
One of the reasons behind getting around to building Vagrantbox.es recently was I was giving a talk to a group of startups on The Difference Engine programme and I wanted to have an example project to demonstrate various things. I wanted to demonstrate everything from sensible version control habbits, configuration management, basic orcestration and most importantly a solid deployment process. I’v
PyCon 2011 Scaling Disqus
Disqus is a comment system designed to connect communities, experiencing rapid growth from 250 million to 500 million unique visitors between 2010 and 2011. The company utilizes a robust Python-based infrastructure with a flat organizational structure, enabling fast feature deployments and high traffic handling. Key elements include a focus on iterative development, real-time monitoring, and the u
PyCon 2011: mrjob: Distributed Computing for Everyone - PyCon US Videos - 2009, 2010, 2011 - blip.tv
Hidden Treasures of the Python Standard Library
The document discusses various features and capabilities of Python's standard library presented by Doug Hellmann during PyCon 2011, focusing on modules for data parsing, database interaction, and serialization. It covers practical examples such as creating a SQLite database, using CSV dialects, and implementing HMAC for secure message signing. The document serves as a guide for leveraging hidden f
Prove を quickrun する - Memo
元ネタ http://d.hatena.ne.jp/ruedap/20110225/vim_php_phpunit_quickrun http://vim-users.jp/2010/09/hack172/ Perl スクリプトを書く時は テストランナーに Prove を使うのでそっちを設定する。 augroup QuickRunUnitTest autocmd! autocmd BufWinEnter,BufNewFile *test.php set filetype=php.unit autocmd BufWinEnter,BufNewFile test_*.py set filetype=python.unit autocmd BufWinEnter,BufNewFile *.t set filetype=perl.unit augroup END let g:quickrun_co
JenkinsとPythonの連携 - kuma8の雑記帳
はじめに 今回は、Jenkins と Python の連携についてです。 使用するツールは、とても便利なテストフレームワーク nose と カバレッジ coverage との連携についてです。 nose連携 まず、 nose との連携からです。 nose をそのまま実行したのでは、Jenkinsに取り込めないため、XUnit形式のレポートを出力する必要があります。 XUnit形式のレポート出力には、 unittest-xml-reporting を導入する必要があります。 unittest-xml-reporting がインストールされていると、noseの出力レポートをXUnit形式にすることができます。 インストール $ easy_install -ZU nose $ easy_install -ZU unittest-xml-reportingnose の使い方は割愛しますが、コマンド
nose でテスト実行時のカバレッジを取得する。 - kuma8の雑記帳
はじめに nose の組み込みプラグインを利用するとテストで実行された時のカバレッジを取得できます。 テスト実行時のカバレッジを取得できるので、テストでカバーできていない範囲など確認できます。 カバレッジを取得する nose と python-coverage がインストールされている必要があります。 nosetests コマンド実行時に、 --with-coverage オプションを付けることでカバレッジを取得できます。 --cover-tests を付与すると実行されたテスト用コードのカバレッジを取得できます。 インストール手順 $ easy_install -ZU nose $ easy_install -ZU coveragenose からのカバレッジ取得し、HTMLに変換する。 $ cd myproject $ nosetests -v --with-coverage tests
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Solaris Essentials - General Technical Questions - Solaris on x86
PyCon 2011: An outsider's look at co-routines. - PyCon US Videos - 2009, 2010, 2011 - blip.tv
PyCon 2011: Using Coroutines to Create Efficient, High-Concurrency Web Applications - PyCon US Videos - 2009, 2010, 2011 - blip.tv
PyCon 2011: "Dude, Where's My RAM?" - A deep dive into how Python uses memory - PyCon US Videos - 2009, 2010, 2011 - blip.tv
PyCon 2011: Writing great documentation - PyCon US Videos - 2009, 2010, 2011 - blip.tv
PyCon 2011: Handling ridiculous amounts of data with probabilistic data structures - PyCon US Videos - 2009, 2010, 2011 - blip.tv