Google Code Archive - Long-term storage for Google Code Project Hosting.Code Archive Skip to content Google About Google Privacy Terms
Python Library for Google Sets
As promised in my previous post on xgoogle library, I have added a module to get results from Google Sets. Google Sets allows to automatically create groups of related items from a few example items. For example, you feed it "red, green, blue," and it will predict other colors such as "yellow, black, white, brown, etc." One of the most fascinating applications that this library can be used for is
Introducing Android Scripting Environment
You may ask, why write scripts instead of real Android applications? Admittedly, Android's development environment makes life pretty easy, but you're tied to a computer to do your work. ASE lets you develop on the device itself using high-level scripting languages to try out your idea now, in the situation where you need it, quickly. Have a look at the following example Lua script to see for yours
Data Source Python Library - Google Visualization API - Google Code
Data Source Python Library Google has open-sourced a Python library that creates DataTable objects for consumption by visualizations. This library can be used to create a DataTable in Python, and output it in any of three formats: JSON string -- If you are hosting the page that hosts the visualization that uses your data, you can generate a JSON string to pass into a DataTable constructor to popul
Protocol Buffers
Protocol Buffers are language-neutral, platform-neutral extensible mechanisms for serializing structured data. What Are Protocol Buffers?Protocol buffers are Google’s language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated sourc
Python ã‹ã‚‰ Google 翻訳を行ㆠpytranslator - ã™ã¡ã‚ƒã‚‰ã‹ç¤¾å“¡æ—¥è¨˜
Python | 先輩ã‹ã‚‰ Java ã‹ã‚‰ Google 翻訳を行ã†ãƒ©ã‚¤ãƒ–ラリ google-api-translate-java を使ã£ã¦è‰¯ã‹ã£ãŸã‚ˆã¨ã„ã†ã®ã‚’èžã„ãŸã®ã§ã€Python 版㮠pytranslator を使ã£ã¦ã¿ã¾ã—ãŸã€‚ #!/usr/bin/env python # coding: utf-8 from Translator import Translator # 日本語ã‹ã‚‰è‹±èªžã¸ j2e = Translator('ja', 'en') print j2e.translate('ã“ã‚“ã«ã¡ã¯') # 英語ã‹ã‚‰æ—¥æœ¬èªžã¸ e2j = Translator('en', 'ja') print e2j.translate('Hello').encode('utf-8') ã“れを sample_Translator.py ã¨ã„ã†åå‰ã§ä¿å˜ã—ã¦æ¬¡ã®ã‚ˆã†ã«å®Ÿè¡Œã—ã¾ã™ã€‚ kyoshida
pygoogle
PyGoogle A Python Interface to the Google API Unfortunately, Google no longer supports the SOAP API for search, nor do they provide new license keys. In a nutshell, PyGoogle is pretty much dead at this point. You can use their AJAX API instead. Take a look here for sample code: http://dcortesi.com/2008/05/28/google-ajax-search-api-example-python-code/ This module is a wrapper for the Google Web AP
Python Google Chart – Trac
Python Google Chart About pygooglechart is a complete Python wrapper for the Google Chart API. Examples Click on the chart images below to see the source code used to create the chart. Documentation Documentation and examples are slowly progressing. ChangeLog Example Code Installation pygooglechart works with Linux, Windows and Mac OS X. Binary Installers Source Install There are a few ways of ins
Develogger: Pythonã‹ã‚‰GoogleSpreadsheetã‚’æ›´æ–°ã™ã‚‹
Pythonã‹ã‚‰ã€Œgdata-python-clientã€ã‚’使用ã—ã¦GoogleSpreadsheetã®å€¤ã‚’æ›´æ–°ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ç°¡å˜ãªã‚µãƒ³ãƒ—ルを作æˆã„ãŸã—ã¾ã—ãŸã®ã§ä¸‹è¨˜ã«æŽ²è¼‰ã—ã¾ã™ã€‚ ※プãƒã‚°ãƒ©ãƒ ã«å®šç¾©ã•ã‚Œã¦ã„る変数ã«é©åˆ‡ãªå€¤ã‚’è¨å®šã—ã¦ãã ã•ã„。 _username: GoogleAccountã®ãƒ¡ãƒ¼ãƒ«ã‚’è¨å®šã—ã¾ã™ã€‚ _password: GoogleAccountã®ãƒ‘スワードをè¨å®šã—ã¾ã™ã€‚ _key: GoogleSpreadsheetã«ã‚¢ã‚¯ã‚»ã‚¹ã—ãŸéš›ã®URLã«è¡¨ç¤ºã•ã‚Œã‚‹ã€Œkeyã€ã®å€¤ã‚’è¨å®šã—ã¾ã™ã€‚ #!/usr/bin/env python # -*- coding: utf-8 -*- import sys import codecs import gdata.spreadsheet.service sys.stdout = codecs.getwriter('cp932')(s
vincent krutler
The Google PageRank Algorithm in 126 Lines of Python Reading How Google Finds Your Needle in the Web's Haystack I was surprised by the simplicity of the math underlying the google PageRank algorithm, and the ease with which it seemed to be efficiently implementable. Being able to do a google-style ranking seems useful for a wide range of cases, and since I had wanted to take a look at python for
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Google Code Archive - Long-term storage for Google Code Project Hosting.
GitHub - google/gdata-python-client
Google App Engine - Google Code
{{#tags}}- {{label}}
{{/tags}}