nimib VS awesome-nim

Jupyter notebook is indeed very important. It mainly provides data scientists with two things: a literate programming environment (mixing text, code and outputs) and a way to hold state of data in memory (so that you can perform computation interactively).

As a different take to literate programming we have created a library and an ecosystem around it: https://github.com/pietroppeter/nimib

For holding state a Nim repl (which is on the roadmap as secondary priority after completing incremental compilation) is definitely an option.

Another option could be to create a library framework for caching (or be able to serialize and deserialize quickly) large data and objects. One way to see it, could be to build something similar to streamlit cache (streamlit indeed provides great interactivity)

As a reminder, at Nim Conf back in October 2022 Andreas presented Nim 2.0 in this video https://www.youtube.com/watch?v=aDi50K_Id_k&list=PLxLdEZg8DR...

Hearing again I cannot chuckle when Araq says: Nim v1 is good at everything, Nim v2 is supposed to be better at everything.

Back then it was supposed to come out in 2022 and indeed a RC1 came out in Dec. In the blogpost for RC1 you find the desciption of all new features: https://nim-lang.org/blog/2022/12/21/version-20-rc.html

This longer time is because extra care is being taken into having a smooth transitions (for example important libraries have been tested to work on nim v2, e.g. we made sure nimib was working with v2 in early Feb: https://github.com/pietroppeter/nimib/releases/tag/v0.3.6)

https://github.com/pietroppeter/nimib

Based on that and using a book theme, scinim getting started documentation is being built, e.g.:

Ones that have not been mentioned so far:

nlvm is an unofficial LLVM backend: https://github.com/arnetheduck/nlvm

npeg lets you write PEGs inline in almost normal PEG notation: https://github.com/zevv/npeg

futhark provides for much more automatic C interop: https://github.com/PMunch/futhark

nimpy allows calling Python code from Nim and vice versa: https://github.com/yglukhov/nimpy

questionable provides a lot of syntax sugar surrounding Option/Result types: https://github.com/codex-storage/questionable

ratel is a framework for embedded programming: https://github.com/PMunch/ratel

cps allows arbitrary procedure rewriting to continuation passing style: https://github.com/nim-works/cps

chronos is an alternative async/await backend: https://github.com/status-im/nim-chronos

zero-functional fixes some inefficiencies when chaining list operations: https://github.com/zero-functional/zero-functional

owlkettle is a declarative macro-oriented library for GTK: https://github.com/can-lehmann/owlkettle

A longer list can be found at https://github.com/ringabout/awesome-nim.

Hasznos cuccok hozzá: https://github.com/ringabout/awesome-nim

Ecosystem-wise - a brief subset of Nim packages:

    https://github.com/ringabout/awesome-nim

One can, of course, go much further than simply distinct number types: https://github.com/ringabout/awesome-nim#science

(Unchained seems maybe the most featureful of those units packages.)

> This is useful for compiler programmers, or maybe also those writing source code analyzers/optimizers, but is that it?

It is also useful for anyone wanting to implement language-level features as simple libraries. Someone else brought up Nim here: it's a great example of what can be done with metaprogramming (and in a non-Lisp language) as it intentionally sticks to a small-but-extendable-core design.

There's macro-based libraries that implement the following, with all the elegance of a compiler feature: traits, interfaces, classes, typeclasses, contracts, Result types, HTML (and other) DSLs, syntax sugar for a variety of things (notably anonymous functions `=>` and Option types `?`), pattern matching (now in the compiler), method cascading, async/await, and more that I'm forgetting.

https://github.com/ringabout/awesome-nim#language-features

Just under their table of contents, they say that "This list is fairly outdated." and point you to https://github.com/xflywind/awesome-nim - and that repo seems to have recent updates.

Thanks for making these, I actually had no idea these existed! I don't "need" them now but seeing these gives me ideas for projects and makes future things easier.

I wish discovery of community libraries was higher, I'm constantly discovering libraries that do amazing things 'hidden' away. I know there's https://nimble.directory/ and https://github.com/xflywind/awesome-nim but most of the time I end up using a search engine for something specific if I think of it.

awesome-nim: https://github.com/xflywind/awesome-nim