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UID:pretalx-foss4g-2022-BJFCHK@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T164500
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DESCRIPTION:We're living in the world of APIs. CRUD operations are base of 
 lot of operations. Many smart frameworks such as Django\, Flask\, Laravel 
 provides out of the box solutions to filter the data\, which covers almost
  all needs to separate data based on column values. \nWhen it comes to Geo
 spatial data\, we expect to filter data based on their location property i
 nstead of metadata. This is where things get complicated\, if you are usin
 g framework that doesn't have package\, library built to handle such use c
 ases\, you are likely to be dependent on either database or any external p
 ackage to handle it.\n\nFortunately Geodjango[https://docs.djangoproject.c
 om/en/4.0/ref/contrib/gis/] (Django's extension) allows us to create datab
 ases which understands geometry and can process it[https://docs.djangoproj
 ect.com/en/4.0/ref/contrib/gis/geoquerysets/#gis-queryset-api-reference]. 
 It also provides support to write APIs using Rest Framework extension [htt
 ps://pypi.org/project/djangorestframework-gis/] which takes this to next l
 evel allowing user to output the data in various formats\, creating pagina
 tions inside geojson\, create TMSTileFilters\, etc.\n\nIn this talk we'll 
 scratch the surface of this python package and see how to build basic CRUD
  APIs to push\, pull GIS data along with filtering it to the PostgreSQL da
 tabase
DTSTAMP:20260403T233307Z
LOCATION:Room 4
SUMMARY:Creating GIS Rest APIS using Geodjango under 30 minutes - krishna l
 odha
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/BJFCHK/
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