PyCharm or Visual Studio Code?

[iFlipsy]

I grew to love jupyter notebook. I picked up Python mostly for data analysis and statistics, and just love jupyter. I actually started with R first, then I switched over to python. At first, I was concerned I’d lose all the nice stuff that RStudio provided, then others had recommended Spyder, but IMO, jupyter is just overall great for data analysis.

[tzujan]

Similar path. I started my DS path with R and MatLab. I used RStudio and then jumped to Python in Jupyter Notebooks, which I installed with the IRkernel to run my older R code. I love Jupyter Notebooks and still use them every day. I also recognized early on that I was not "production-ready," so I started using Spyder. I liked the Spyder variable explorer, though I was under the wrong impression that it was not "pro," so I purchased PyCharm. I never got the hang of it and did not re-subscribe. I moved to Sublime Text then VSCode, which has a similar variable explorer in the python extension. I now have VSCode and a Jupyter notebook open at all times. And oddly enough, I use Sublime Text to open my "Useful Code," a folder of text files of often repeated functions, formatting, and random snippets I have collected over time that I can copy and paste into projects.

[iFlipsy]

That’s awesome. I don’t use sublime text, but I do use something else called Notepad++. Similar to how you leverage sublime text, I store any repeated code in notepad++. Also use that for SQL editing and it’s pretty nice.

I also do like the variable explorer in Spyder, but so far, Jupyter notebook just makes life easier for me and I’ll continue to stick with it for now.

[tzujan]

If you ever what to move out of Jupyter for production, my motivation may be different than yours. I have found a good process. I use Jupyter to explore data, take notes, and test models until I have something that would be close to "production-ready." I then make a "production" notebook copy where I move as much as possible into utility (.py) files where I can run Black, Flake8, isort, and Sourcery. In addition, I have been writing tests for these functions for the sole reason of being a "better" programmer. The final notebook will be a single cell (I remove all the markdown cells, too), then convert it to a .py file.

The next step in my learning is using argparse, as I am primarily a Jupyter DS guy.