Data API Developer's Guide: The Protocol - Google Calendar APIs and Tools - Google Code
Data API Developer's Guide: The Protocol Google Calendar allows client applications to view and update calendar events in the form of Google Data API feeds. Your client application can use the Google Calendar Data API to create new events, edit or delete existing events, and query for events that match particular criteria. There are many possible uses for the Calendar Data API. For example, you ca
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Network Stack
Warning: This document is somewhat outdated. See https://chromium.googlesource.com/chromium/src/+/HEAD/net/docs/life-of-a-url-request.md for more modern information. Overview The network stack is a mostly single-threaded cross-platform library primarily for resource fetching. Its main interfaces are URLRequest and URLRequestContext. URLRequest, as indicated by its name, represents the request for
開発者ã«èžãã€Google ChromeãŒç›®æŒ‡ã™ã‚‚ã® ï¼ ï¼ IT
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Google SearchWikiã§ä½•ãŒå¤‰ã‚る？｜Sphinn Japan Blog
アメリカã§20æ—¥ã€GoogleãŒæ¤œç´¢çµæžœã‚’カスタマイズã§ãã‚‹SearchWikiã‚’æ£å¼ãƒªãƒªãƒ¼ã‚¹ã—ã¾ã—ãŸã€‚ ç¾çŠ¶æœªã 一部ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®ã¿ã¸ã®æä¾›ã¨ã„ã†ã“ã¨ã§ã™ãŒã€ã“ã‚Œã¯ã€å¤ã”ã‚ã«è¡Œã‚ã‚Œã¦ã„ãŸEdit search resultsã®æœ¬ãƒªãƒªãƒ¼ã‚¹ã¨ã„ã†å½¢ã ã¨æ€ã‚ã‚Œã¾ã™ã€‚ ã„よã„よ検索ã®ãƒ‘ーソナライズド化を推ã—進ã‚るよã†ãªå‹•ãã§ã¯ã‚ã‚Šã¾ã™ãŒã€ã“ã‚Œã«ã‚ˆã£ã¦SEOãŒã©ã®ã‚ˆã†ãªå¤‰åŒ–ã‚’ã—ã¦ã„ãã®ã§ã—ょã†ã‹ï¼Ÿ 「SEOã£ã¦ã‚‚ã†ã‚„ã‚‹ã“ã¨ãªããªã‚‹ã‚“ã˜ã‚ƒãªã„？ã€ã¨ã‹ã€ã€ŒSEOã—ã¦ã‚‚æ„味ãŒãªããªã‚‹ãã€ã¨ã‹ã€å¼Šç¤¾å†…ã§ã‚‚冷やã‹ã—åŠåˆ†ã§ãã‚“ãªå£°ãŒèžã“ãˆã¾ã—ãŸãŒï¼ˆè‹¦ç¬‘）実際ã©ã†ãªã£ã¦ã„ãã®ã§ã—ょã†ã‹ï¼Ÿ ç§ãªã‚Šã«ã€æ—¥æœ¬ã«SearchWikiãŒå°Žå…¥ã•ã‚ŒãŸã‚‰ãƒ»ãƒ»ãƒ»ã¨ã„ã†ã®ã‚’考ãˆã¦ã¿ã¾ã—ãŸã€‚ ãªãŠã€ã“ã¡ã‚‰å‹æ‰‹ãªå¦„想ã§ã™ã®ã§ã€ä¿¡ã˜ã‚‹ä¿¡ã˜ãªã„ã¯è²´æ–¹æ¬¡ç¬¬ãƒ»ãƒ»ãƒ»ã€‚ SearchWikiãŒæ™®åŠã—ãªã„å ´åˆ Googleã®ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã‚’æŒã£ã¦ã„るユー
グーグルã®ãƒˆãƒƒãƒ—デザイナー辞任ã®å¼ï¼šGoogle's Top Designer Leaving
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How To Use the Google Template System
Motivation A template system can be used to separate output formatting specifications, which govern the appearance and location of output text and data elements, from the executable logic which prepares the data and makes decisions about what appears in the output. Template systems lie along a continuum of power versus separation. "Powerful" constructs like variable assignment or conditional stat
For Developers
See also: docs in the source code - https://chromium.googlesource.com/chromium/src/+/HEAD/docs/README.md Start here Get the Code: Checkout, Build, & Run Contributing code How-tos Note that some of these guides are out-of-date. Getting the Code Quick reference of common development commands. Look at our Git Cookbook for a helpful walk-through, or the Fast Intro to Git Internals for a background int
「グーグル方å¼ã®ç§‘å¦ã€ - 七左衛門ã®ãƒ¡ãƒ¢å¸³
著者：ケヴィン・ケリー ( Kevin Kelly ) è¨³ã€€ï¼šå ºå±‹ä¸ƒå·¦è¡›é–€ ã“ã®æ–‡ç« ã¯ã€€Kevin Kelly ã«ã‚ˆã‚‹ "The Google Way of Science" ã®æ—¥æœ¬èªžè¨³ã§ã‚る。 グーグル方å¼ã®ç§‘å¦ã€€ã€€The Google Way of Science ペタãƒã‚¤ãƒˆãƒ¬ãƒ™ãƒ«ä»¥ä¸Šã®ãã‚ã‚ã¦å¤§è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãŒã§ãã‚‹ã¨ã€äººé–“ã®å¦ç¿’方法ãŒå¤‰ã‚ã£ã¦ã—ã¾ã„ãã†ãªäºˆæ„ŸãŒã‚る。今ã¾ã§ã®ç§‘å¦ã®æ–¹æ³•ã§ã¯ã€ä»®èª¬ã‚’構築ã—ã¦è¦³å¯Ÿã—ãŸãƒ‡ãƒ¼ã‚¿ã«åˆè‡´ã•ã›ã‚‹ã€ã‚ã‚‹ã„ã¯æ–°ã—ã„データを集ã‚ã‚‹ã¨ã„ã†ã“ã¨ã‚’ã—ã¦ã„ãŸã€‚ãã“ã«ã¯æ•°å¤šãã®è¦³å¯ŸãŒã‚る。ã©ã®ã‚ˆã†ãªç†è«–ã§ã‚ã‚Œã°ã€ä»Šã¾ã§ã®ãƒ‡ãƒ¼ã‚¿ã‚’ã†ã¾ã説明ã™ã‚‹ã“ã¨ãŒã§ãã¦ã€ãã“ã‹ã‚‰æ¬¡ã®è¦³å¯Ÿçµæžœã‚’予想ã§ãã‚‹ã®ã‹ï¼Ÿ ãã‚ã‚ã¦å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ãŒã‚ã‚Œã°ã€ç†è«–ã®éƒ¨åˆ†ã¯çœç•¥ã—ã¦ã€ã„ããªã‚Šè¦³å¯Ÿçµæžœã‚’予想ã§ãã‚‹ã‹ã‚‚ã—ã‚Œãªã„。グーグルã¯æ—©ãã‹ã‚‰ãã®ã“ã¨ã«æ°—ã¥ã„ã¦ã„ãŸã€‚ãŸã¨ãˆã°ã€ã‚°ãƒ¼ã‚°ãƒ«ã®ã‚¹ãƒšãƒ«ãƒã‚§ãƒƒ
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Google currently processes over 20 petabytes of data per day through an average of 100,000 MapReduce jobs spread across its massive computing clusters. The average MapReduce job ran across approximately 400 machines in September 2007, crunching approximately 11,000 machine years in a single month. These are just some of the facts about the search giant’s computational processing infrastructure rev
Google Japan Blog: デベãƒãƒƒãƒ‘ー交æµä¼š （ 第 1 回 ） ─ Vol.1
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