I decided to make the jump into automating some aspects of my trading routine. Upon a suggestion by @svrz, the research into Jupyter have been very eye-opening in terms of shortening the learning curve. Great guide on Jupyter and how to set up a development environment that facilitates code re-use, code sharing and shortening the development cycle. https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook#gs.cmtJ0G0 Alternative representations of market data can be stimulated by a visit to: https://d3js.org/ Tutorial on Git https://www.atlassian.com/git/tutorials/comparing-workflows If there are any others out there working with these technologies, links, notebooks, etc. to share, it'll be great to collaborate!