PinnedEssential geospatial Python librariesQuick overview of essential Python libraries for working with geospatial data.Mar 25, 20188Mar 25, 20188
Start your geospatial careerThis article shares some guidance and resources for starting a career in the geospatial field.Aug 22, 2023Aug 22, 2023
Querying calendar events via the Google Calendar APIDo you want to pull all meetings & events from your or any shared Google calendar via the Google calendar API in Python? This blogpost…Aug 29, 20221Aug 29, 20221
Thermal imaging with satellitesA short introduction to thermal remote sensing, applications and thermal satellite startupsAug 1, 20211Aug 1, 20211
The best MkDocs plugins and customizationsDiagrams, code reference, notebook integration, macros, pdf generation etc.Nov 17, 20203Nov 17, 20203
Documenting a Python package via mkdocs-materialHow to create a Python package documentation with code reference via mkdocs-material. Beautiful, simple, powerful, Markdown!Aug 22, 20204Aug 22, 20204
Published inUP42Air pollution: Using Sentinel-5P to monitor the atmosphereAn overview of Sentinel-5P and Level-2 & Level-3 processing explainedJan 14, 20201Jan 14, 20201
Tutorial: UAV land cover classification with fastai & Google ColabDronedeploy UAV imagery, fastai and Google Colab. No requirements, in-browser, with a GPU.Jan 3, 20201Jan 3, 20201
Howto: Install Python for geospatial applicationsStep for step instructions on setting up Python 3 for Windows with gdal, rasterio, geopandas and other essential geospatial librariesApr 15, 20198Apr 15, 20198
Jupyter Tips and TricksJust a couple of JupyterLab & Notebook features that I didn’t know a year ago but am now using a lot.Aug 12, 20183Aug 12, 20183
