I decided not to commercialize nbdev

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  • fastcore

    Python supercharged for the fastai library

  • Yes, I encourage you to look at some example projects made with nbdev incase that is helpful:

    - fastcore: https://github.com/fastai/fastcore - the nbs/ folder contains the source files that generate source code, docs and tests.

  • ghapi

    A delightful and complete interface to GitHub's amazing API

  • - ghapi: https://github.com/fastai/ghapi - the notebooks that create source code, docs and tests are located in the root.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • hoosieree

  • Cool, I also wanted to say that I think nbdev looks great, and while I think it and org-mode get similar results, the user experience is surely quite different compared to emacs.

    My org-mode workflows start with doom-emacs[1] because otherwise Emacs customization is too much of a time sink. I've written a couple peer-reviewed papers in org-mode (exporting to pdf), my blog is written org-mode (exported to html), and I've done the "literate" thing witih code+docs+tests in one file.

    For me, org-mode is better as a file format because it's plain text. I don't mind making quick edits in GitHub or vim if I'm away from Emacs for some reason. But it's definitely best to work with org-mode from within Emacs.

    Notebooks are more enjoyable to look at while you're editing them, whereas org-mode generally needs a separate "export" step to be pretty.

    Here's a representative example from a blog post: https://gitlab.com/hoosieree/hoosieree.gitlab.io/-/blob/mast... (result is here: https://alexshroyer.com/posts/2023-05-21-Stack-VM-Language.h...)

    The svg images (which gitlab renders) are actually generated by a code block in the org-mode file:

        #+CAPTION: N times M compilers

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