Reproducible Scientific Python Using Containers

Use Microsoft’s VSCode editor (code), Docker Containers, and other open-source tools for scientific Python software collaboration, development, and use on Linux and Windows. Securely connect offices, remote workers, storage resources, compute resources, and the cloud with Tailscale as a replacement for traditional VPN.

System Packages #

VSCode Editor #

Download Visual Studio Code from Microsoft.

For a Debian-based GNU/Linux distribution like Ubuntu or Pop OS, the .deb can be installed with sudo dpkg -i code_$version_amd64.deb.

MDAL

The Mesh Data Abstraction Library (MDAL) out of OSGeo is a “translator library” for many common conventions found in meteorology and hydrology. The library supports data found in Grib and NetCDF encoded as NetCDF Climate and Forecast Metadata Conventions (CF) or Unstructured Grid Conventions (CF/UGRID) and represented as geospatial mesh data. In addition to supporting mature and well-defined spatial data encodings in self-describing files, the library also supports numerous model-specific formats including Telemac, HEC-RAS, and TUFLOW.

Using the Blockchain for Open-access Journals?

One thing that excites me about the current buzz around blockchain technology is its use for open science. I can’t speak to the feasibility, but it seems to me that a distributed ledger could be an ideal place to publish and provide open-access to scientific research papers and articles.

If including a way to store, deliver and update supporting data, a blockchain could deliver research products that link directly to the data and analysis–providing an unparalleled level of provenance and context for research and results. Citations and work building on similar pieces of data could be connected allowing for straighforward literature searches and discovery.