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{ "category": "PyCon US 2010", "language": "English", "slug": "pycon-2010--persistent-graphs-in-python-with-neo4", "speakers": [ "Tobbias Ivarsson" ], "tags": [ "neo4j", "pycon", "pycon2010" ], "id": 264, "state": 1, "title": "Persistent Graphs in Python with Neo4j (#140)", "summary": "", "description": "Persistent Graphs in Python with Neo4j\n\n \nPresented by Tobbias Ivarsson\n\n \nDatabases that employ a data model other than the relational model are\nincreasingly a hot topic. Neo4j is an open source database where the data\nmodel is a graph. Data in Neo4j is stored as Nodes and Relationships in\nbetween nodes. A lot of the data we model in applications every day is\nactually graph oriented, having a database that persists such data natively is\na huge benefit. In this presentation we will see how to use Neo4j in Python,\nand demonstrate this with a web application in Django.\n\n", "quality_notes": "", "copyright_text": "Creative Commons Attribution-NonCommercial-ShareAlike 3.0", "embed": "", "thumbnail_url": "http://a.images.blip.tv/Pycon-PyCon2010PersistentGraphsInPythonWithNeo4j140164-779.jpg", "duration": null, "video_ogv_length": 170064119, "video_ogv_url": "http://05d2db1380b6504cc981-8cbed8cf7e3a131cd8f1c3e383d10041.r93.cf2.rackcdn.com/pycon-us-2010/264_persistent-graphs-in-python-with-neo4j-140.ogv", "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": "http://05d2db1380b6504cc981-8cbed8cf7e3a131cd8f1c3e383d10041.r93.cf2.rackcdn.com/pycon-us-2010/264_persistent-graphs-in-python-with-neo4j-140.m4v", "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": null, "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": null, "video_flv_download_only": false, "source_url": "", "whiteboard": "", "recorded": "2010-02-19", "added": "2012-02-23T04:20:00", "updated": "2014-04-08T20:28:28.162" }