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!
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!
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