gophernotes
rfcs
gophernotes | rfcs | |
---|---|---|
10 | 666 | |
3,776 | 5,731 | |
0.7% | 1.3% | |
3.0 | 9.8 | |
7 months ago | 1 day ago | |
Go | Markdown | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gophernotes
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Go: What We Got Right, What We Got Wrong
https://github.com/gopherdata/gophernotes
I've had this bookmarked for some time and just havent gotten around to it.
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Alternative REPL to "gore"
Gopher Notes Kernel for jupyter notebooks? Could be useful :)
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GoNB, a new Jupyter Notebook Kernel for Go
I started this because gophernotes was not working for another project I'm slowing working on -- it is interpreted, and not up-to-date (generics, etc).
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How To Develop In Go Without Commenting Out?
A go kernel is available at https://github.com/gopherdata/gophernotes
- Is there a program or plugin in that's similar to jupyter notebooks or google collab for Go lang?
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Why Lisp?
> You do know that statically typed languages have REPLs too? Like the ML family, including Haskell.
I do, but that I don't see how that relates to the bit of my post which you've quoted. I certainly didn't claim or imply that REPL and static type systems were mutually exclusive, only that REPLs are a poor substitute for many static analysis tasks.
> And when using something like a Jupyter notebook with a kernel for your compiled language https://github.com/gopherdata/gophernotes you can do similar interactive programming.
Yeah, I'm aware. I operate a large JupyterHub cluster (among many other things) at work. :)
> Lisp REPLs take that a step further, as you interact with and in your whole actually running program.
That sounds nice, but it's too abstract to persuade IMHO.
- Scripting in Go
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I just started learning Go and my senior gave me link of "Learn Go with tests" as a place where i should be learning .... i am finding this thing very complex compared to other tutorials, why so and what should i do?
If you are coming from python,jupyter notebook, gophernotes is a great library to setup your own playground.
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Go+: Go designed for data science
Why can't you just build libraries to make Go a better language for data science? There's already Go support for a Jupyter Notebooks kernel: https://github.com/gopherdata/gophernotes
rfcs
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Ask HN: What April Fools jokes have you noticed this year?
RFC: Add large language models to Rust
https://github.com/rust-lang/rfcs/pull/3603
- Rust to add large language models to the standard library
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Why does Rust choose not to provide `for` comprehensions?
Man, SO and family has really gone downhill. That top answer is absolutely terrible. In fact, if you care, you can literally look at the RFC discussion here to see the actual debate: https://github.com/rust-lang/rfcs/pull/582
Basically, `for x in y` is kind of redundant, already sorta-kinda supported by itertools, and there's also a ton of macros that sorta-kinda do it already. It would just be language bloat at this point.
Literally has nothing to do with memory management.
- Coroutines in C
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Uv: Python Packaging in Rust
Congrats!
> Similarly, uv does not yet generate a platform-agnostic lockfile. This matches pip-tools, but differs from Poetry and PDM, making uv a better fit for projects built around the pip and pip-tools workflows.
Do you expect to make the higher level workflow independent of requirements.txt / support a platform-agnostic lockfile? Being attached to Rye makes me think "no".
Without being platform agnostic, to me this is dead-on-arrival and unable to meet the "Cargo for Python" aim.
> uv supports alternate resolution strategies. By default, uv follows the standard Python dependency resolution strategy of preferring the latest compatible version of each package. But by passing --resolution=lowest, library authors can test their packages against the lowest-compatible version of their dependencies. (This is similar to Go's Minimal version selection.)
> uv allows for resolutions against arbitrary target Python versions. While pip and pip-tools always resolve against the currently-installed Python version (generating, e.g., a Python 3.12-compatible resolution when running under Python 3.12), uv accepts a --python-version parameter, enabling you to generate, e.g., Python 3.7-compatible resolutions even when running under newer versions.
This is great to see though!
I can understand it being a flag on these lower level, directly invoked dependency resolution operations.
While you aren't onto the higher level operations yet, I think it'd be useful to see if there is any cross-ecosystem learning we can do for my MSRV RFC: https://github.com/rust-lang/rfcs/pull/3537
How are you handling pre-releases in you resolution? Unsure how much of that is specified in PEPs. Its something that Cargo is weak in today but we're slowly improving.
- RFC: Rust Has Provenance
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The bane of my existence: Supporting both async and sync code in Rust
In the early days of Rust there was a debate about whether to support "green threads" and in doing that require runtime support. It was actually implemented and included for a time but it creates problems when trying to do library or embedded code. At the time Go for example chose to go that route, and it was both nice (goroutines are nice to write and well supported) and expensive (effectively requires GC etc). I don't remember the details but there is a Rust RFC from when they removed green threads:
https://github.com/rust-lang/rfcs/blob/0806be4f282144cfcd55b...
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Why stdout is faster than stderr?
I did some more digging. By RFC 899, I believe Alex Crichton meant PR 899 in this repo:
https://github.com/rust-lang/rfcs/pull/899
Still, no real discussion of why unbuffered stderr.
- Go: What We Got Right, What We Got Wrong
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Ask HN: What's the fastest programming language with a large standard library?
Rust has had a stable SIMD vector API[1] for a long time. But, it's architecture specific. The portable API[2] isn't stable yet, but you probably can't use the portable API for some of the more exotic uses of SIMD anyway. Indeed, that's true in .NET's case too[3].
Rust does all this SIMD too. It just isn't in the standard library. But the regex crate does it. Indeed, this is where .NET got its SIMD approach for multiple substring search from in the first place[4]. ;-)
You're right that Rust's standard library is conservatively vectorized though[5]. The main thing blocking this isn't the lack of SIMD availability. It's more about how the standard library is internally structured, and the fact that things like substring search are not actually defined in `std` directly, but rather, in `core`. There are plans to fix this[6].
[1]: https://doc.rust-lang.org/std/arch/index.html
[2]: https://doc.rust-lang.org/std/simd/index.html
[3]: https://github.com/dotnet/runtime/blob/72fae0073b35a404f03c3...
[4]: https://github.com/dotnet/runtime/pull/88394#issuecomment-16...
[5]: https://github.com/BurntSushi/memchr#why-is-the-standard-lib...
[6]: https://github.com/rust-lang/rfcs/pull/3469
What are some alternatives?
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
rust - Empowering everyone to build reliable and efficient software.
yaegi - Yaegi is Another Elegant Go Interpreter
bubblewrap - Low-level unprivileged sandboxing tool used by Flatpak and similar projects
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
crates.io - The Rust package registry
lgo - Interactive Go programming with Jupyter
polonius - Defines the Rust borrow checker.
nyxt - Nyxt - the hacker's browser.
Rust-for-Linux - Adding support for the Rust language to the Linux kernel.
nbview - View Jupyter Notebooks in your terminal
rust-gc - Simple tracing (mark and sweep) garbage collector for Rust