Ever wanted to leverage your spreadsheet skills in Python? Now you can with Mito, the Python library that enables the use of a Spreadsheet directly in Jupyter. In this video, I sit down for a talk with the founders and developers of Mito (Jacob Diamond-Reivich, Aaron Diamond-Reivich and Nate Rush) where we discuss several interesting topics including among others what is Mito, use cases of Mito, the future of spreadsheets and more.

⭕ Timeline
0:00 Introduction
1:33 What is Mito? How did you come up with the idea for Mito?
3:28 How to get access to Mito?
4:45 How many are using Mito?
5:27 Mito is currently in closed Alpha
5:54 Learning from users
7:10 Mito for learning Python
8:54 Use cases of Mito
9:42 How Mito differ from related tools (PandasGUI)
11:16 Use case for learning
11:49 Use case for reproducibility
15:19 Use case for auditability (peer review)
17:11 Custom function in Mito
19:38 Future directions of Mito
22:33 Integration with Streamlit?
23:38 Mito Startup Story
25:34 Future of spreadsheets
30:18 Support for DataFrames (Pandas, NVIDIA RAPIDS cuDF and Dask)
32:20 Integration with BlazingSQL?
34:49 How do you go from idea to implementation?
36:36 What features are users requesting for?
40:23 How did you come up with the name Mito?
41:32 Conclusion
41:58 Final remarks from the Mito team

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