krishna lodha

Learn how to turn your PostgreSQL database into a powerful RESTful API using PostgREST. This talk focuses on exposing geospatial data and leveraging PostGIS functions to build scalable, efficient spatial APIs—all without writing a single line of backend code.

Join this hands-on workshop to learn how to build fully functional spatial APIs using PostgreSQL, PostGIS, and PostgREST. We'll cover setup, data exposure, and using spatial functions—empowering you to build powerful, backend-free geospatial services using just SQL.

pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. This workshop will cover publishing geospatial data to the Web using pygeoapi in support of the suite of OGC API standards.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.

Explore how to quickly access and analyze Sentinel satellite data using STAC APIs and the Microsoft Planetary Computer. In this talk, we’ll demonstrate how Python makes it easy to fetch imagery and calculate vegetation indices in just minutes.

Discover how to access and analyze Sentinel satellite imagery in seconds using STAC APIs and Microsoft Planetary Computer. In this hands-on workshop, you'll use Python to fetch data, calculate vegetation indices, and build efficient Earth observation workflows.

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.

pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. This workshop will cover publishing geospatial data to the Web using pygeoapi in support of the suite of OGC API standards.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.

geoserverx is a modern Python package that provides an efficient and scalable way to interact with Geoserver REST APIs. It leverages the asynchronous capabilities of Python to offer a high-performance and reliable solution for managing Geoserver data and services.

This workshop is a practical introduction to advanced data styling with GeoServer using the GeoCSS styling language and Natural Earth data to build a multi-scale political map.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.

geoserverx is a modern Python package that provides an efficient and scalable way to interact with Geoserver REST APIs. It leverages the asynchronous capabilities of Python to offer a high-performance and reliable solution for managing Geoserver data and services.

This workshop is a practical introduction to advanced data styling with GeoServer using the GeoCSS styling language and Natural Earth data to build a multi-scale political map.

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.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.