Software Open Access
This is a recipe for creating an environment with tools and packages which I use for widely understood data analysis.
In general the smaller the environment is - the better. Little number of packages imply less constraints on software versions and smaller disk space. When it comes to publishing research I highly advise to encapsulate scripts and pipelines into minimal environments necessary to execute the analyses, either with Docker or Conda technologies.
That being said
Having a dedicated environment for software development & data analysis can speed up the research significantly. Often, to avoid wasting precious time, there is a need to perform a quick-and-dirty data inspection or processing. It would be a bad idea to install all the required packages into a main environment. It is much safer, more efficient and cleaner to have a separate work space just like the one I present here.
|All versions||This version|
|Data volume||91.8 kB||91.8 kB|