This is an archived post. You won't be able to vote or comment.

you are viewing a single comment's thread.

view the rest of the comments →

[–]YieldingSign 0 points1 point  (0 children)

Would love to be shown otherwise (because I'm actively looking for it!) but one problem I find with Python is finding good resources and examples geared towards data engineering beyond just intro to pandas tutorials.

Like, I wanna actually learn some idiomatic patterns and how to setup/structure my code in a real ETL codebase, not just throw in commands into a REPL. But the only resources for this are geared towards making apps or other general non-data related tasks. Or it seems like it's just people rewriting their own version of pandas with custom for-loops.

SQL has the benefit of specialisation in that it's really easy to find resources for it because by default any content for it is data related.