Avoiding Jupyter Notebooks entirely and doing everything in .py files?

I don't mean just for production, I mean for the entire algo development process, relying on .py files and PyCharm for everything. Does anyone do this? PyCharm has really powerful debugging features to let you examine variable contents. The biggest disadvantage for me might be having to execute segments of code at a time by setting a bunch of breakpoints. I use .value\_counts() constantly as well, and it seems inconvenient to have to rerun my entire code to examine output …

contents datascience debugging development everything features files jupyter jupyter notebooks mean notebooks process production pycharm