Anyone else live in a Jupyter QtConsole?
Thank you. I didn't know this existed.
Show HN: A modern Jupyter client for macOS
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Re: Show HN: A modern Jupyter client for macOS
#72[dead]
Re: Show HN: A modern Jupyter client for macOS
#73Can someone explain their views on Jupyter notebooks? As far as I can tell, the instructor/content creators will set up the "notebook" and students can read the notes and click on the "play" button to see it work in action. Is there anything else besides that? I guess I'm old school and am used to cutting and pasting and running things in my own terminal, so I'm wondering if there are added benefits that I'm not awar…
Another point not mentioned by the other comments: you run code interactively (like you would do in a REPL), but keeping what you wrote. This is very practical, for example, if you want to develop a simple code for data analysis. You fetch the data only once, then develop the rest of the code based on it, instead of writing everything without seeing the data.
As a consequence of it, it makes easier to write bad code. I care about code quality, but I must admit that sometimes I needed to stop and refactor my jupyter notebooks.
It's a nice tool, but it doesn't replace writing a .py
Re: Show HN: A modern Jupyter client for macOS
#74Congrats! Sorry if you shared here below and I missed it, but I'd love to hear what exactly didn't work out with a pure Swift approach. I'm trying that route for a SQL client based on duckdb (as a side project) and would be very helpful to avoid similar pitfalls for example.
Re: Show HN: A modern Jupyter client for macOS
#75Anyone else live in a Jupyter QtConsole?
Yes, I have it set up to launch at OS startup, along with a hotkey to task-switch to it at any time. An incredibly underrated tool.
JupyterLab still has its uses, but it's just too heavyweight for the "calculator replacement" role IMO. QtConsole is perfect. Or at least, it is with a bit of additional startup code.
Re: Show HN: A modern Jupyter client for macOS
#76This sort of high performance minimalism is precisely what makes the Mac app ecosystem great. Not because you can't write the same thing on other platforms, but because everyone who cares about it has condensed on the Mac platform. Would love to see this adopt the document-based app API and the toolbar API.
Did you read the post at all? "Full disclosure: it's built with Electron. I originally wrote it in Swift but couldn't get the editor experience to where I wanted it. Now it supports autocomplete, multi-cursor editing, and moving the cursor between cells just like you'd expect from JupyterLab or VS Code" It's not a native Mac app, it's a standard electron app.
And yet, the Satyrn author created sth that is more minimal and elegant than the options that existed before. And despite being in Electron and therefore not at all Mac specific, the target audience will almost exclusively run a Mac. Not because you need a Mac to run it, but because the kind of person who cares about such detail will have chosen an OS that cares a lot about details.
Re: Show HN: A modern Jupyter client for macOS
#77Is there something like Jupyter for Javascript/Typescript, ideally self hosted? At the moment I just do data science using one off scripts in NodeJS but seeing these notebook style formats recently where different chunks of code appear to be snapshotted and then visualisations can be easily integrated looks quite nice.
Re: Show HN: A modern Jupyter client for macOS
#78Why “modern”? I suggest you use more descriptive adjectives.
I always felt that if you have nothing to say about your project you say it's modern. They just coded it, so it must be
Re: Show HN: A modern Jupyter client for macOS
#79Is there something like Jupyter for Javascript/Typescript, ideally self hosted? At the moment I just do data science using one off scripts in NodeJS but seeing these notebook style formats recently where different chunks of code appear to be snapshotted and then visualisations can be easily integrated looks quite nice.
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Re: Show HN: A modern Jupyter client for macOS
#80I used to use Jupyter and Jupyter Lab, but by far the most able Jupyter interface today is actually VS Code (I use this every day).
The interface is sleek, the language server and debugger are built in (so completions, variable renaming, step-by-step debugging etc. all work seamlessly) and it makes Jupyter a pleasure to use.