This video will walk you through installing the necessary components for our app, starting with the database system. You’re ready to build the foundation for a GIS-enabled web application. And if you stick around, I’ve also included a bonus video on adding Leaflet mapping to your web page.Ġ0:00 Welcome back.
#Python postgresql driver
After that, QGIS (so we have an easy driver installation), then Django through Pip followed by enabling GeoDjango. You’ll be installing our components in this order: PostgreSQL with PostGIS extension, followed by a copy of Python 3.6 (if you don’t have it already installed). The only caveat is, at the time of this video recording, QGIS does not yet work with Python 3.7 so if you don’t have it installed already you’ll need a copy of Python 3.6 on your system as well.
#Python postgresql install
Since the objective of this tutorial is to get you up and running quickly with a simple location-aware app, we will install an open-source GIS application called QGIS, which just happens to install these drivers correctly and efficiently. These drivers can be installed individually, but getting them to install and work correctly can be tricky. GeoDjango needs a few dependencies to operate correctly, such as GDAL, GEOS and PROJ.4.
We can achieve this on our Django web application by enabling the GeoDjango framework. Because we have a GIS enabled database, we will also want a GIS-enabled model, which is able to recognize and work with geographic queries. The data is stored in PostGreSQL with the PostGIS extension. For review, these are the components of our application: This video will walk you through installing the necessary components for our app, starting with our database system. Note: It is extremely unsafe to explicitly mention your password in the code.Welcome back! You’re ready to build the foundation for a GIS enabled web application.
#Python postgresql how to
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