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Django - Qiita Advent Calendar 2017 - Qiita
The Qiita Advent Calendar 2017 is supported by the following companies, organizations, and services.
Django ORM ã® select_related, prefetch_related ã®æŒ™å‹•ã‚’詳ã—ã調ã¹ã¦ã¿ãŸ - akiyoko blog
Django ORM ã® QuerySet ã«ã¯ã€select_related ãŠã‚ˆã³ prefetch_related ã¨ã„ã†ãƒ¡ã‚½ãƒƒãƒ‰ãŒã‚ã‚Šã¾ã™ãŒã€ã‚¤ãƒžã‚¤ãƒä½¿ã„å‹æ‰‹ãŒã‚ˆã分ã‹ã‚‰ãªã‹ã£ãŸã‚Šã—ã¾ã™ã€‚ å…¬å¼ãƒ‰ã‚ュメントã«ã¯ã“ã†æ›¸ã„ã¦ã‚ã‚Šã¾ã™ãŒã€ select_related works by creating an SQL join and including the fields of the related object in the SELECT statement. For this reason, select_related gets the related objects in the same database query. However, to avoid the much larger result set that would result from joining a
djangoã§ãƒ˜ãƒ†ãƒãªãƒªã‚¹ãƒˆã®prefetch (generic foreign keyã®prefetch_related) - podhmo's diary
djangoã§ãƒ˜ãƒ†ãƒãªãƒªã‚¹ãƒˆã®prefetch djangoã§ãƒ˜ãƒ†ãƒãªãƒªã‚¹ãƒˆã®prefetch。ã§ããªã„ã¨æ€ã£ãŸã‚‰æ™®é€šã«å‡ºæ¥ãŸã®ã§ã‚ã‚Šã¨ã³ã£ãã‚Šã—ãŸã®ã§è¨˜äº‹ã«ã—ã¦ã¿ãŸã€‚ ヘテãƒãªãƒªã‚¹ãƒˆ? ã“ã“ã§ã®ãƒ˜ãƒ†ãƒãªãƒªã‚¹ãƒˆã¨è¨€ã†ã®ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªãƒªã‚¹ãƒˆã‚’指ã—ã¦ã„る。 xs = [A(), B(), A(), A(), B(), C()] ã¤ã¾ã‚‹ã¨ã“ã‚１ã¤ã®åž‹ã®ã‚ªãƒ–ジェクトã®ãƒªã‚¹ãƒˆã§ã¯ãªã複数ã®åž‹ãŒæ··åœ¨ã—ãŸãƒªã‚¹ãƒˆã®ã‚ˆã†ãªã‚‚ã®ã‚’指ã—ã¦ã„る。ã“ã®ã‚ˆã†ãªãƒªã‚¹ãƒˆã¯è¤‡æ•°ã®ã“ã¨ãªã‚‹ã‚¢ã‚¤ãƒ†ãƒ ã‚’è¦ç´ ã¨ã—ã¦æŒã¤ã‚¿ã‚¤ãƒ ラインã®ã‚ˆã†ãªãƒšãƒ¼ã‚¸ã‚’作ã‚ã†ã¨ã—ãŸæ™‚ã«å¿…è¦ã«ãªã‚‹ã€‚例ãˆã°ã€ã“ã®ã‚ˆã†ãªã‚‚ã®ã‚’generic foreignkeyを使ã£ã¦ä»¥ä¸‹ã®æ§˜ã«å®Ÿè£…ã™ã‚‹ã¨ã„ã†ã“ã¨ãŒã‚ã‚‹ã‹ã‚‚ã—ã‚Œãªã„。 from django.contrib.contenttypes.fields import GenericForeignKey from dj
djangoã§ã®é›†è¨ˆã¯è¾›ã„ã¨ã„ã†è©± -- ORMã¯ç”¨æ³•ãƒ»ç”¨é‡ã‚’守ã£ã¦æ£ã—ã使ã„ã¾ã—ょㆠ- podhmo's diary
djangoã§ã®é›†è¨ˆã¯è¾›ã„ã¨ã„ã†è©± -- ORMã¯ç”¨æ³•ãƒ»ç”¨é‡ã‚’守ã£ã¦æ£ã—ã使ã„ã¾ã—ょㆠdjangoã®ORMã®æ©Ÿèƒ½ã®ä¸è¶³ã«ã¶ã¡å½“ãŸã‚Šè¾›ã„ã¨ã„ã†è©±ã€‚別ã®è¨€ã„方をã™ã‚‹ã¨ã€ORMã¯ç”¨æ³•ãƒ»å®¹é‡å®ˆã£ã¦æ£ã—ã使ã„ã¾ã—ょã†ã¨ã„ã†æ„Ÿã˜ã«ãªã‚‹ã‹ã‚‚ã—ã‚Œãªã„。 ã¯ã˜ã‚㫠以下ã®ã‚ˆã†ãªæƒ…å ±ã‚’å¹´é½¢ã§ä¸¸ã‚ãŸå€¤ã§é›†è¨ˆã—ã¦ãƒ’ストグラムã®ã‚ˆã†ãªã‚‚ã®ã‚’作りãŸã„。 åå‰ å¹´é½¢ foo 10 bar 15 boo 20 çµæžœ rank c 1 2 2 1 SQLã§ã¯é ‘張れã°ã©ã†ã«ã‹ãªã‚‹ 集計をã—ãŸã„時ãªã©ä½•ã‚‰ã‹ã®æ¼”ç®—ã®çµæžœã§ GROUP BY ã—ãŸã„時ãªã©çµæ§‹ã‚る。ãŠãらããã£ã¨ã‚る。 例ãˆã°ãƒ’ストグラム的ãªã‚‚ã®ã‚’作æˆã—ãŸã„時ãªã©ã€‚SQLã§ã‚れ㰠CASEã¨WHENを書ã連ãã‚‹ã“ã¨ã‚’æ°—ã«ã—ãªã‘ã‚Œã°ã©ã†ã«ã‹ãªã‚‹ã€‚ sqlite> create table person(name string primary key, age in
Appleã®ãŠèŒ¶ç›®ãªãƒ—ãƒã‚°ãƒ©ãƒžãƒ¼ãŒiOSã«éš ã—æŒãŸã›ãŸã‚¢ã‚¹ã‚ーアート自動生æˆå‘½ä»¤ãŒã‚®ãƒ¼ã‚¯ã£ã½ãã¦é¢ç™½ã„
iOS用ã®ä¸–界一実用度ã®é«˜ã„Pythonçµ±åˆé–‹ç™ºç’°å¢ƒã€Pythonistaを開発ã—ã¦ã„ã‚‹Ole Zornã•ã‚“ãŒé¢ç™½ã„ã‚‚ã®ã‚’発見ã—ã¦ã„ã¾ã—ãŸã€‚ ãã‚Œã¯ç”»åƒã‚’アスã‚ーアートã«å¤‰æ›ã™ã‚‹iOSã«éš ã•ã‚ŒãŸå‘½ä»¤ã€‚ TIL there's a UIImage category method called ASCIIDescriptionWithWidth:Height: in AssetsLibrary.framework that actually produces ASCII art. — omz (@olemoritz) May 24, 2016 カメラãƒãƒ¼ãƒ«ã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ã¨ãã«ä½¿ã†ãƒ•ãƒ¬ãƒ¼ãƒ ワークã€AssetsLibrary.frameworkã‚’ãƒãƒ¼ãƒ‰ã™ã‚‹ã¨UIImageã«ä»˜åŠ ã•ã‚Œã‚‹ã‚«ãƒ†ã‚´ãƒªãƒ¡ã‚½ãƒƒãƒ‰ã®ã‚ˆã†ã§ã™ã€‚ - (id)ASCIIDescriptionWithWidth:(int)arg1 h
2015年センター試験数å¦IAã‚’å…¨ã¦ãƒ—ãƒã‚°ãƒ©ãƒ (Python)ã§è§£ã - Qiita
ã“ã®è¨˜äº‹ã¯ãªã‚“ãªã® 「センター試験程度ã§ã‚ã‚Œã°ã€æ•°å¼ã¨æ–‡ç« ã‚’æ„šç›´ã«ãƒ—ãƒã‚°ãƒ©ãƒ ã«è½ã¨ã—ã“ã‚€ã“ã¨ã•ãˆã§ãã‚Œã°ã€æ˜¨ä»Šã®ãƒ„ールを用ã„ã¦ã€ä½•ã‚‚é–ƒã‹ãšã¨ã‚‚機械的ã«å•é¡Œã‚’解ãã“ã¨ãŒå‡ºæ¥ã‚‹ã€ã¨ã„ã†ã“ã¨ã®ä¸»å¼µ 科å¦è¨ˆç®—ライブラリ(特ã«Sympy)ã®å¸ƒæ•™ å°†æ¥ã€åƒãå…ˆãŒãªããªã£ãŸã¨ãã€ã€Œç§ã€ç§ã“ã†ã„ã†ã“ã¨ãŒã§ãã‚‹ã‚“ã§ã™ï¼ï¼ã€ã£ã¦è¨€ãˆã°ã©ã“ã‹ãŒæ‹¾ã£ã¦ãã‚Œãªã„ã‹ãªã‚ã€ã¨ã„ã†å¤¢ 使用ã™ã‚‹ã‚‚ã® Python (3ç³») Scipy.org ã«è¼‰ã£ã¦ã„る科å¦è¨ˆç®—ライブラリ全ã¦(ã‚¿ã‚°ãŒè¶³ã‚Šãªã„ï¼ï¼) å…±ã«ã€2015å¹´6月ç¾æ™‚点ã§ã®æœ€æ–°ç‰ˆã‚’使用ã—ã¾ã™(特ã«ã€Scipyã¯ä»Šå¹´1月ã«å®Ÿè£…ã•ã‚ŒãŸæœ€æ–°ç‰ˆã®æ©Ÿèƒ½ã‚’使用ã™ã‚‹ã®ã§æ³¨æ„ã—ã¦ãã ã•ã„)。 数々ã®ãƒ©ã‚¤ãƒ–ラリを一ã¤ä¸€ã¤ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ã®ã¯ã™ã”ãé¢å€’ã§ã™ã€‚é¢å€’ãªã®ã§ã€æœ‰åã©ã“ã‚を固ã‚ãŸãƒ‘ッケージã®ã‚ˆã†ãªã‚‚ã®ãŒè¤‡æ•°å˜åœ¨ã—ã¾ã™ã€‚ 個人的ã«ã¯ã„ã¤ã‚‚Anacondaを使ã£ã¦ã¾ã¨ã‚ã¦ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼
Python製デプãƒã‚¤ãƒ„ール Fabricã‚’åˆã‚ã¦ä½¿ã†éš›ã«å½¹ç«‹ã¤Tips
by @dekokun on 2013/04/07 19:30 Tagged as: Python, Fabric, デプãƒã‚¤ãƒ„ール. 2013/04/09 追記 æ„外ã¨å響ãŒã‚るよã†ãªã®ã§ã€Tipsè¿½åŠ ã—ã¾ã—ãŸã€‚ 2013/05/10 追記 並列実行ã«ã¤ã„ã¦èª¿ã¹ãŸã®ã§ã¤ã„ã§ã«è¿½è¨˜ 「次ã®ãƒ—ãƒãƒ€ã‚¯ãƒˆã¯ã‚·ãƒ³ãƒ—ルãªãƒ‡ãƒ—ãƒã‚¤ãƒ„ールã ã¨å™‚ã®Cinnamonã§ã‚‚使ã£ã¦ã¿ã‚‹ã‹ãƒ¼ã€ã¨è¨€ã£ã¦ã„ãŸã‚‰ã€ã€ŒCinnamonã¯ä½¿ã£ã¦ã‚‹ãƒ¦ãƒ¼ã‚¶æ•°ãŒå°‘ãªãã†ã ã—åŒæ§˜ã®ã“ã¨ãŒè¡Œãˆã‚‹Fabricã®ã»ã†ãŒã„ã„ã‚“ã˜ã‚ƒãªã„ã§ã™ã‹ã。ã€ã¨ã„ã†ãƒ„ッコミをã„ãŸã ãã€ä»Šå›žã¯Perlã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã‚‚ãªã„ãŸã‚Fabricを使用ã™ã‚‹ã“ã¨ã«ã—ã¾ã—ãŸã€‚ åˆã‚ã¦è§¦ã‚‹Fabricã€ã‚„ã¯ã‚Šåˆå¦è€…ã«ã¯ã„ã‚ã„ã‚ã¨ã‚ˆãã‚ã‹ã‚‰ãªã„部分ãŒã‚ã£ãŸãŸã‚ã€ã¯ã¾ã£ã¦è§£æ±ºã—ãŸã“ã¨ã‚„便利ãªTipsãªã©ã‚’ã¤ã‚‰ã¤ã‚‰ã¨åˆ—挙ã—ã¦ã„ãã¾ã™ã€‚ ãªãŠã€ä»¥ä¸‹æƒ…å ±ã¯Python2.7åŠã³F
Essential Python Geospatial Libraries
Just so I don’t forget, here is a list of really awesome Python libraries that I’m using these days to do lots of fun things with spatial data [UPDATE: I’ve added a few more]: pandas - For data handling and munging shapely - For geometry handling cartopy - For plotting spatial data rtree - For efficiently querying spatial data nodebox-opengl - For playing around with animations statsmodels - For m
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How to create an object for a Django model with a many to many field?
You cannot create m2m relations from unsaved objects. If you have the pks, try this: sample_object = Sample() sample_object.save() sample_object.users.add(1,2) Update: After reading the saverio's answer, I decided to investigate the issue a bit more in depth. Here are my findings. This was my original suggestion. It works, but isn't optimal. (Note: I'm using Bars and a Foo instead of Users and a S
RESTfulãªAPIを構æˆã™ã‚‹ã®ã«ç‰¹åŒ–ã—ãŸã‚¦ã‚§ãƒ–フレームワークã¨ã‹(Pythonç·¨) - laiso
ã“ã‚“ã°ã‚“ã¯ã€Pythonç•Œã®ã²ãã“ã‚‚ã‚Šã§ã™ã€‚ モãƒã‚¤ãƒ«ã‚¢ãƒ—リケーションã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰é–‹ç™ºãªã©ã§RESTful APIã‚’å…ˆãšè¨è¨ˆã™ã‚‹å¿…è¦ãŒã‚ã‚‹ã¨ã„ã£ãŸã‚±ãƒ¼ã‚¹ãªã‚“ã‹ã§ä¾¿åˆ©ã«åˆ©ç”¨ã§ããã†ãªã€æ—¢å˜ã®ã‚¦ã‚§ãƒ–アプリケーションフレームワークã®ä»•çµ„ã¿ã‹ã‚‰RESTfulãªAPI構æˆã«ç‰¹åŒ–ã—ã¦ãƒ‘ッケージングã•ã‚ŒãŸã‚µãƒ–フレームワークãŒã„ã‚ã„ã‚出ã¦ãã¦ã„ã‚‹ã®ã§èª¿ã¹ã¾ã—ãŸã€‚ フレームワークã«å¿…è¦ãªæ©Ÿèƒ½ãã‚‚ãもフレームワークã«ã©ã‚“ãªæ©Ÿèƒ½ãŒå¿…è¦ãªã®ã‹ã¨ã„ã†ã®ã‚’Choosing an API framework for Django ã‹ã‚‰æŠœç²‹ã€‚ ページãƒãƒ¼ã‚·ãƒ§ãƒ³(アイテムã®å…ˆé ã‹ã‚‰10件ãŒ1ページ目→11ã‹ã‚‰20ãŒ2ページ目ãªã©) データã®æŠ•ç¨¿ã¨ãƒãƒªãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ メタデータã®ç”Ÿæˆ(result, count, next ã¿ãŸã„ãªè¦ç´ をレスãƒãƒ³ã‚¹ã«å«ã‚る為ã®ã—ãã¿ã®ã“ã¨ã‹ãª?) レスãƒãƒ³ã‚¹ã®ãƒãƒ³ãƒ‰ãƒªãƒ³ã‚° ã‚ャッシュ データã®
tsuyukimakoto / qamasu / wiki / Home — Bitbucket
Atlassian Sourcetree is a free Git and Mercurial client for Windows. Atlassian Sourcetree is a free Git and Mercurial client for Mac. You caught us doing some quick maintenance, temporarily restricting your repository to read-only access. Qamasu . Job Queue Application written in Python Qamasu is JobQueue system that respects TheSchwartz. Requirements ((Python2.5 and simplejson) or Python2.6) and
データ・サイエンスã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¯Rã‹ã‚‰Pythonã«ç½®ãæ›ã‚ã‚‹ | readwrite.jp
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Welcome to Alembic’s documentation! — Alembic 0.8.3 documentation
http://docs.pylonsproject.org/en/latest/pylons/migrate.html
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Charming Python: Functional programming in Python, Part 3
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