Nate Rush

Python is the go-to language for data science. While Excel is currently the most used tool for data work, Python is quickly replacing it, and there’s a rush to help existing analysts and business users of Excel learn Python. At Mito, we’ve helped run Python trainings at bulge

I've spent the past 3 years of my life building a spreadsheet. Day in, day out, rows and columns. Pivot tables and graphs. Formulas and importing and exporting. Building a spreadsheet is how I plan to spend the next decade of my life – which is a somewhat sobering

Mito AI has been live for less than a month, and since then we’ve watched our open source users use it in incredibly creative ways. Our users have used Mito AI to work around limitations in our product, do complex transformations with a single request, optimize their scripts, and

Last month, Mito launched v1 of Mito AI. To be totally honest with you, it’s not the world’s best AI feature (yet). We wanted to get something out the door so that our users could start exploring, and so that we could start learning. V2 of Mito AI

It’s a supremely underrated fact that Excel is the most-widely used piece of consumer software outside of a web-browser, and has been so for the past 40 years or so. Simply put, Excel is one of the most dominant pieces of software of all time. What can explain this

If you concatenate two dataframes, a new dataframe will be created with the rows of the first dataframe above the rows of the second dataframe. The code you probably want To concatenate two dataframes while keeping only the columns they share: import pandas as pd df1 = pd.DataFrame({'A&

What is Mito? A softball to start. Mito is a spreadsheet interface for Python. Edit a spreadsheet. Generate the equivalent Python. You can ingest data, clean data, transform data, visualize data, and share data in the Mitosheet, without needing to write the code yourself. But the answer to this question