laffra
Joined 13 years ago
Karma
72
Submissions
34
Member since
Jan 31
Recent submissions
Comment · 2 years ago
This impacts Chrome, Edge, and Brave. A fix is in the works, but will take time to make it through the Chrome/Edge/Brave build trains. Up to then, most websites that rely on PyScript crash randomly with an "Aw, Snap!" message.
Comment · 2 years ago
Also, check out PySheets (https://pysheets.app), which leverages PyScript to run Python logic in a spreadsheet UI, which is written entirely in Python. The PySheets UI uses LTK (https://github.com/pyscript/ltk), a fully client-side UI rendering library for PyScript.
Comment · 2 years ago
I tried that exactly with PySheets by implementing the sheet in Python itself, rethinking how Jupyter Notebook would look if it treated the data science problem as a dependency graph rather than a linear storytelling document. See https://pysheets.app
Comment · 2 years ago
Your second proposal looks like https://pysheets.app
Comment · 2 years ago
Felix's upcoming work is intriguing and would enable a much nicer integration of Python into the Excel ecosystem. The use of PyOdide and WASM enables execution of the Python logic on-device. The same tactic is used by PySheets and taken a bit more to the extreme by implementing the cell functions, but also the entire sheet UI and logic in Python. Check it out if you are approaching the space from the perspective of a Python programmer, rather than an Excel user. See https://pysheets.app
Comment · 2 years ago
You can load spreadsheets into Jupyter today. With Pandas or Polars, you can import CSV or Excel sheets quite easily. PySheets is reimagining what Jupyter Notebooks would look like if you use a DAG, not a linear execution flow.
Just like CoPilot or Sourcegraph's Cody is used in VS Code, PySheets uses OpenAI to suggest the Python code to write when the sheet contains a Pandas data frame of a certain shape. The AI accelerates figuring out what APIs to call and when. I myself find Matplotlib and Pyplot highly confusing, and a coding assistant that writes my code in this niche, makes me a lot more productive. It is cool to say, "Take the dataframe in E13 and generate an orange bar graph for it," and see the code generated.
Comment · 2 years ago
And it all runs in your own browser without needing any cloud kernels.
Comment · 2 years ago
Anaconda is also a heavy sponsor of PyScript. The https://pyscript.com website is an online IDE for quickly trying out PyScript and building a website. If you like PythonAnywhere, you will love pyscript.com as well.
Comment · 2 years ago
That's nice. I will do the same for PySheets, once the dust settles on the original launch.
Comment · 2 years ago
PySheets is not based on Rust. It is 100% Python.
Comment · 2 years ago
I am feeling pretty Okay now, indeed. I played golf today. It was on a Par3 course, so it only tested my short game. However, I scored -1, with almost a hole-in-one. I blame it on the success of PySheets :-)
Comment · 2 years ago
Thanks!
Comment · 2 years ago
If you sign up for PySheets, we give you 7 tutorials. Two explain how to use AI to import data, convert it to Dataframes, and visualize them using Matplotlib. The generated code is impressive and can help novice data scientists explore the Pandas and Pyplot APIs.
The AI is used to generate Python code, not to analyze or generate data in the sheet. I will clarify that on the landing page. Hopefully, that will inspire you to try it out.
This is a different Kurt Vile :-)
Comment · 2 years ago
PySheets has been designed to run on-prem and on GCP as well. The beta version you are looking at is just offered as a zero-install experimentation platform. We are actively talking with financial institutions, and both co-founders on the team, https://pysheets.app/#Team, have a long history in Finance, so we are very sensitive to all the (correct) points you make. We will look in more detail at your very helpful suggestions!