Google App Engine — Password-less Login with OAuth2
Stay organized with collections Save and categorize content based on your preferences. App Engine offers you a choice between two Python language environments. Both environments have the same code-centric developer workflow, scale quickly and efficiently to handle increasing demand, and enable you to use Google’s proven serving technology to build your web, mobile and IoT applications quickly and
Pattern | CLiPS
Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization. The module is free, well-document
Home — Pygame Subset for Android
Pygame Subset for Android¶ The Pygame Subset for Android is a port of a subset of Pygame functionality to the Android platform. The goal of the project is to allow the creation of Android-specific games, and to ease the porting of games from PC-like platforms to Android. Downloads¶ The Pygame Subset for Android is available from the Android Market as “Pygame Subset for Android.” The current versio
A new App Engine datastore API
This post is primarily intended for App Engine users (and of those, only Python users :-). Over the past months I've been working on a new design for the Python datastore API, under the code name Datastore Plus. The new design is very ambitious, and changes a lot of things: New, cleaner implementations of Key, Model, Property and Query classesHigh-level asynchronous API using Python generators as
Google Python スタイルガイド
概要¶ これは Google Python Style Guide Revision 2.29 を日本語に訳したものです。 本家ガイドは CC-By 3.0 ライセンス の基で公開されています。また、本ガイドも同ライセンスを継承します。 本家ガイドの著者は以下の通りです。 Amit Patel Antoine Picard Eugene Jhong Jeremy Hylton Matt Smart Mike Shields また、本ガイドの翻訳者は以下の通りです。 Kosei Kitahara 本ガイドに誤植、誤訳があった場合は issue で教えてください。 その他本ガイドに関する問い合わせは、サイト最下部に記載のメールアドレスか @Surgo にお願いします。 はじめに¶ Python は Google で使われている主要なスクリプト言語です。 このスタイルガイドは Python によ
Tornado Web Server — Tornado 6.5.1 documentation
¶ Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Quick links¶ Current version: 6.5.1 (download from PyPI, release notes) Sour
Ask HN: Why Python over Ruby? | Hacker News
I would like to understand why Python is so much more popular than Ruby. Much of the software I've seen supports Python for scripting (e.g. Miro, OpenMoko, XBMC/Boxee), and people don't seem to care so much for Ruby. At the same time, people agree that Ruby is great for writing DSLs.I don't want a flame war or religious arguments. I would like to understand what made Python win in this space. Than
PIL Tutorial: How to Create a Button Generator | Nadia Alramli's Blog
Python Imaging Library (PIL) is an external library for Python. It supports opening, manipulating, and saving different image file formats. PIL is well documented and easy to install. In this tutorial I'm focusing on the paste function. At the end of the tutorial, I'll explain a useful script that converts any icon into a web 2.0 style button, just like these: The first argument can either be an I
Which is faster in Python: x**.5 or math.sqrt(x)?
I've been wondering this for some time. As the title say, which is faster, the actual function or simply raising to the half power? UPDATE This is not a matter of premature optimization. This is simply a question of how the underlying code actually works. What is the theory of how Python code works? I sent Guido van Rossum an email cause I really wanted to know the differences in these methods. My
rst2pdfをWindowsで使ってみた - 偏った言語信者の垂れ流し
reStructuredTextからPDFを作成するrst2pdfというツールがあります。 インストール インストールはWindowsだと依存モジュールがCで書かれていて少し面倒になりますが、MacやLinux環境だとeasy_install一発で入ると思います。 特徴としては、 Pythonのモジュールだけで構成されていて、特別なツールが必要ない 日本語でも使える フォントの埋め込みができる 設定がjson Windows/MacOSX/Linuxどれでも使える あたりでしょうか。日本語対応してて、フォントの埋め込みができるのは大きいです。 依存モジュールは、以下の通り。Python2.5で試しました。 docutils PIL pygments simplejson reportlab PIL、reportlabはWindows用のインストーラでインストールするとよいです。simple
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GitHub - atiw003/html5-slides-markdown: Generate a slideshow using the slides that power the html5-slides presentation
Client Challenge
Symbols in Python
Zachary Voase’s Blog — Announcing Markdoc
How do you use the ellipsis slicing syntax in Python?
PyCUDA
PyOpenCL
Code snapshot of Ice Isle - Django web cRPG Game ;)
Google Code Archive - Long-term storage for Google Code Project Hosting.
android-scripting - Google Code