Showing posts from 2020

Looking back at 2019 Geospatial Python

It was a busy year in 2019, except for a short holiday in July. 2019 came and went.  Lets begin with how my tech stack changed in 2019. Technology Stack as of December 2019 The basic core has not changed in the last several years, including Python, PostGIS, Postgresql.  What is new this year is Google Cloud.  Google Cloud Storage and Compute Engine were front and center this year for my new applications and deployments.  The experience was smooth and polished in comparison to the AWS world which is also getting better I may add.  Azure is looking good aswell, and I am looking forward to seeing what happens in 2020 within these big 3 players.   GDAL in 2019 Installation of geospatial libraries was still a pain in 2019.  Docker of course makes this pain less painfull but nonetheless I do not feel comfortable in saying that getting GDAL to jive with your application stack works out of the box.  I was hoping this would be a solved problem but if you scour the internet t