aarondia

5 ms·

1.
by aarondia 2y ago
I find these retro blog posts from people building LLM solutions super useful for helping me try out new prompting, eval, etc. techniques. Which blog posts have you all found most useful? Would love a link.
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Ending the 15% NYC broker's fee(nytimes.com)
9 points by aarondia 2y ago|3 comments
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by aarondia 2y ago
I've spent the past few years teaching business analysts at large financial institutions how to automate their Excel workflows with Python. My main takeaway are: 1. Business analysts can spend up to weeks per month updating existing mo
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Automatically convert excel files to Python(pyoneer.ai)
2 points by aarondia 2y ago|1 comments
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Choosing Between SQL and Python(blog.trymito.io)
1 points by aarondia 3y ago|0 comments
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Lessons Learned adding ChatGPT to our Product. Round 2(blog.trymito.io)
1 points by aarondia 3y ago|0 comments
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by aarondia 3y ago
> or that they break from earlier stated requirements as new requirements are requested. This nails one of the biggest issues that we're trying to help Mito users with -- code that meets __changing__ requirements. ie: the input data
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by aarondia 3y ago
These are sweet -- thanks for sharing. > Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models I love the idea of giving users feedback on how to get better at prompting the LLM. I think the
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by aarondia 3y ago
That's an interesting idea. When converting an Excel workbook to Python, checking your work as you go is the hardest thing for us to convince people to do. (See here: https://blog.trymito.io/automating-spreadsheets-with
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by aarondia 3y ago
Unfortunately, Mito only works in JupyterLab and Jupyter notebooks right now. Support for VSCode and Google Colab is on the roadmap.
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by aarondia 3y ago
Hey, I'm Aaron, co-founder of Mito. Funnily enough, doing "diff detection" in spreadsheets is like the first thing we made when building Mito. We built Git for Excel to enable better collaboration around Excel models -- turns
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by aarondia 3y ago
Congrats on the launch! I created Mito, a spreadsheet the lives inside of Jupyter. We've seen a ton of our users using Jupyter and ChatGPT playground side by side. We're also experimenting with bringing chatgpt into Jupyter throug
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by aarondia 3y ago
This reminds me of an Upton Sinclair quote: “was one to believe that there was nowhere a god of hogs, to whine this hog personality was precious. To whome these hog squeals and agonies had meaning?”
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by aarondia 4y ago
+1. Recently tried some recipes from his cookbook The Wok. +=1
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Ask HN: Has anyone used Jupyter real time collaboration?
5 points by aarondia 4y ago|0 comments
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by aarondia 4y ago
Somewhere before "I had to procure a new VM just to open this Excel file", you should probably migrate to a database + Python
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by aarondia 4y ago
If when you say GSheets + Airtable, you're looking for a spreadsheet that is designed for data analysis +a let's you name columns and sets formulas to the entire column, then checkout Mito ( https://www.trymito.io ). Dis
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by aarondia 4y ago
Congrats on the launch Brandon + Brayden. I'm building something similar over at Mito ( https://www.trymito.io ), although we're Python first instead of SQL first. Would love to hop on a call and learn more!
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by aarondia 4y ago
From the blog: > In a typical scenario, the customer success team who is in charge of this activity has to work back and forth with the customer. The customer has to resolve manual (unintended) errors. + 100. This is even the case when a
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by aarondia 4y ago
Its not an AI based approach, but it is a step up from writing code by hand -- you could try using open source Mito -> https://www.trymito.io -> full disclosure I built it -> to do some of this messy data wrangling. Mit
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by aarondia 4y ago
This is very cool. I'm the creator of Mito [1] -- we're also building a data visualization tool in JupyterLab. The Tabluea approach that you took is really interesting! Going to send you a message -- would love to learn more! [1]
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by aarondia 4y ago
Congrats on the launch! I'm the cofounder of Mito[1], an open-core spreadsheet extension to Jupyter that generates the equivalent Python code every time you edit your data. We also think that combining the intuitiveness of spreadsheet
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by aarondia 4y ago
The friction of getting started with Mito is something we spend a lot of time focusing on. For example, when it comes to the installation process, not only do users install Mito through a CLI, but because JupyterLab 2, JupyterLab 3, and Jup
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by aarondia 4y ago
For some non-technical users, Power Query is a better option. If your main purpose is to work with a large data set and then update a PowerBI dashboard, for example, then Power Query sounds like a perfect solution. But what we see is that t
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by aarondia 4y ago
Aaron here, one of the Mito co-founders. +1, beyond the most obvious reasons that companies are moving away from Excel (too much data to process, not enough robust automation features), there are important workflow management reasons that c
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by aarondia 4y ago
To stop my friends from using this to guess who my crush is, a fun iteration could be instead of entering the person’s name, you enter the last text you sent, place you met, etc. Something only the two of you would know … and maybe even som
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by aarondia 4y ago
This sort of bouncing back and forth between the aggregate the raw data is something that Mito is really great at. To view aggregate info, users tend to either look at graphs or pivot tables of their data in Mito. They use that aggregate vi
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by aarondia 4y ago
Thanks for sharing. There's a few other YouTubers who have made some cool videos about Mito -- The Data Professor [1] and Talk Python to Me [2] And some cool Medium posts too! Mitosheet: enabling collaboration [3], Mito: One of the Coo
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by aarondia 4y ago
> programmatically automate the creation of things like dashboards and reports. That's an awesome use case for Python, and that sort of script generation is one of the main reasons that we see people adopting Python/Mito. And s
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by aarondia 4y ago
This looks cool :)

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