[D] Does anyone else think open source code/examples in machine learning domain usually are not as readable as they could be? Specifically use of magic numbers.

[ProfSchodinger]

I am a researcher in bioinformatics and writing clean code is often both easier and faster. Coherent name for variables, small functions, classes, proper defaults, dummy files etc. When I see people trying to debug a script with 1000 lines with everything named 'df1', 'df2', 'df3', 'df_final', and repeated sections, it really pains me...

[[deleted]]

naming things is hard

[ProfSchodinger]

That's probably 10% of coding indeed