"Python for Data Analysis 2nd ed" (Wes McKinney, 2018)
"Python for Data Analysis 2nd ed" (Wes McKinney, 2018)
All great tools to be sure! I am a huge fan of numpy and pandas especially. For plotting in Neptyne I usually opt for plotly over matplotlib/seaborn. Agreed too on the shell -- that's why we built one into our product.
I am curious though, do you typically share/collaborate on these spreadsheets with others? Do you have a neat way of packaging up the spreadsheet+Python code?
On the other hand, while Matplotlib and its ecosystem of add-ons and close imitators is fantastic, it's not friendly to most people, and making it interactive is a massive pain. If you want to wiggle sliders and watch your charts change in real time, you need to use pyplot or something instead.