There are several ways to approach Python, so I wanted to compare experiences.
I am particularly interested in data quality and performance. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
Are there any settings, tools, or workflow changes that made a noticeable difference?
I am particularly interested in data quality and performance. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
Are there any settings, tools, or workflow changes that made a noticeable difference?