New DS here. Where can I learn best practices for organizing a project, folder structure, BASH scripting/scheduling, etc?

• dslp

  4 389 1.8

  The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

  

As an addendum to u/GryffinLoL I’d add this resource if you’re using any kind of VCS tooling. It has some solid suggestions.

• missing-semester

  375 4,708 6.8 CSS

  The Missing Semester of Your CS Education 📚

  

https://missing.csail.mit.edu This one will teach you all about general computer skills, things like navigating the command line, bash scripting, cron scheduling, and make files which will be very useful to you.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• govcookiecutter

  1 132 4.3 Python

  A cookiecutter template for data science projects within His Majesty's Government and wider public sector.

  

For testing your statistical assumptions and performance, govcookiecutter is worth a look for its integration of agile and baked in unit testing, see: https://github.com/best-practice-and-impact/govcookiecutter

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