Workflows for setting up reproducible and scalable Geospatial Python Environments on Windows machines.
- Create a set of tools that allows for the easy install of geospatial libraries on windows machines.
- Pioneer a process that allows for an environment to be tested and easily reporduced.
- Seamless transition between production and development enviroments.
- Easy deployment on cloud infrastructure (i.e. AWS EC2, etc.)
- Libraries will be installed using wheel files from Christoph Gohlke's Unofficial Windows Binaries for Python Extension Packages website, when available.
- Libraries will be installed using
pip, once their dependencies are installed from Christoph Gohlke's site. - Test these environments using a virtual environment.
- Pull requests will only be accepted if tests have passed.
Maintained by Alec Brazeau - abrazeau@dewberry.com