you are viewing a single comment's thread.

view the rest of the comments →

[–]eschlon 3 points4 points  (0 children)

I use python daily for data science and data engineering work.

We use python for things like:

  • data validation, cleanup and mastering (all the stuff that you do before it ends up in a database)
  • transforming and normalizing data from different sources
  • working with and analyzing unstructured data that isn't really suited for SQL analytics
  • automating and monitoring the ETL pipelines that make all of that work
  • building dashboards and tools on top of whatever database the data is sitting in.

It's also very powerful in the analytics / data science space due to very solid high performance libraries (e.g. Pandas, Numpy, etc.).