I am considering migrating from R-Studio to Python. So I am just starting Python with VS Code as my editor. My purpose is mainly to analyze data, build predictive models and make such models available via a web API.
When working in R-studio with a large data set, I can run a script to read in the data from say a CSV file, then I can explore the data using the normal statistical approaches. I only need to load the data set ONCE, which is great since loading a large data set often takes some time. And data exploration requires lots of repeated "probes" to view histograms, compare counts etc. So not having to reload the data each time I change a script or run a script to view a plot, is a great advantage.
However, using Python in VS Code, it seems to me that if I load the data frame say in a method at the top of a script, then have a method to draw a graph, then each time I run that script, the data is reloaded. So if I want to draw 20 histograms, each time changing only the title, I need to do the data reload each time I modify and run the script.
Am I missing a feature of Python and VS Code or is my summary correct?