Data Science, Programming, Research And Development, Scientific Computing.
double the commitment to keep code clean, reproducible, organized, etc. And, sometimes, it is just not feasible. Image by author. The solution? Now, what works best for me, in my data science journey is to develop with the IDE and the Jupyter at the same time, but with different purposes. I write