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I also found that a little frustrating. There's Python implementations of it available here.
One thing I didn't mention about R/tidyverse is that there's a free IDE called RStudio Desktop that plays very nicely with that workflow - you can edit your main code, run quick bits of test code, view all your data tables and explore their contents, see your graphs, and read the docs, all in one place. The online book I linked to above uses RStudio throughout.
If you're going to use Python for data analysis, you'll probably want to learn a package like pandas or NumPy on top of vanilla Python, so you're not necessarily saving yourself much time or effort compared to learning Python and R separately.