#343: Do Excel things, get notebook Python code with Mito

#343: Do Excel things, get notebook Python code with Mito

Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Numbers, or some other spreadsheet app? Yeah, my bet is on Excel. And while it has many drawbacks, it makes exploring tabular data very accessible to many people, most of whom aren't even developers or data scientists. On this episode, we're talking about a tool called Mito. This is an add-in for Jupyter notebooks that injects an Excel-like interface into the notebook. You pass it data via a pandas dataframe (or some other source) and then you can explore it as if you're using Excel. The cool thing is though, just below that, it's writing the pandas code you'd need to do to actually accomplish that outcome in code.

Episoder(543)

#536: Fly inside FastAPI Cloud

#536: Fly inside FastAPI Cloud

You've built your FastAPI app, it's running great locally, and now you want to share it with the world. But then reality hits -- containers, load balancers, HTTPS certificates, cloud consoles with 200...

10 Feb 1h 7min

#535: PyView: Real-time Python Web Apps

#535: PyView: Real-time Python Web Apps

Building on the web is like working with the perfect clay. It’s malleable and can become almost anything. But too often, frameworks try to hide the web’s best parts away from us. Today, we’re looking ...

23 Jan 1h 7min

#534: diskcache: Your secret Python perf weapon

#534: diskcache: Your secret Python perf weapon

Your cloud SSD is sitting there, bored, and it would like a job. Today we’re putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up R...

13 Jan 1h 14min

#533: Web Frameworks in Prod by Their Creators

#533: Web Frameworks in Prod by Their Creators

Today on Talk Python, the creators behind FastAPI, Flask, Django, Quart, and Litestar get practical about running apps based on their framework in production. Deployment patterns, async gotchas, serve...

5 Jan 1h 1min

#532: 2025 Python Year in Review

#532: 2025 Python Year in Review

Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On t...

29 Des 20251h 18min

#531: Talk Python in Production

#531: Talk Python in Production

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and...

18 Des 20251h 21min

#530: anywidget: Jupyter Widgets made easy

#530: anywidget: Jupyter Widgets made easy

For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery. Most developers took one look and backed away slow...

13 Des 20251h 11min

#529: Computer Science from Scratch

#529: Computer Science from Scratch

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David ...

3 Des 20251h 17min

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