gophernotes
evcxr
| gophernotes | evcxr | |
|---|---|---|
| 10 | 75 | |
| 3,776 | 5,246 | |
| 0.7% | 2.1% | |
| 3.0 | 8.6 | |
| 7 months ago | about 1 month ago | |
| Go | Rust | |
| MIT License | GNU General Public License v3.0 or later |
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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
evcxr
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Scriptisto: "Shebang interpreter" that enables writing scripts in compiled langs
Emacs didn't invent REPL, and it's common everywhere. For Rust: https://github.com/evcxr/evcxr/blob/main/evcxr_repl/README.m.... But heck, the compiler is reasonably fast enough that any IDE can REPL by compiling the code.
The value here is more in being able to read a script before you run it, then have it run fast, maybe tweaking something here and there. And a compiled script will run 10,000 times faster than LISP, which can be important.
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Go: What We Got Right, What We Got Wrong
https://github.com/evcxr/evcxr can run Rust in a Jupyter notebook. It's not Golang but close enough.
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The Hallucinated Rows Incident
The engine uses rust_decimal::Decimal to represent high precision decimal numbers, like the weight property. Serialization of RocksDB keys is done by the storekey crate. To know how Yumi's machine stores diffs, we can now ask- How does storekey serialize rust_decimal? Well, using evcxr to run Rust in Jupyter, the answer is as a null-terminated string:
- TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
- Exploring Options for Dynamic Code Changes in Rust without Recompilation (hot reloading)
- Go 1.21 will (likely) have a static toolchain on Linux
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What’s an actual use case for Rust
In theory you should be able to create Rust notebooks (Jupyter notebook) using evcxr so maybe some AI, data analysis, prototyping make sense if you aim for good performance in final application (protype in evcxr and use notebook as reference to implement final application in Rust for speed and safety).
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would you use rust for scripting?
You should check out evcxr
- Nannou – An open-source creative-coding framework for Rust
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Rust vs. Haskell
There is also implementations of rust REPLs, like the beautifully named evcxr.
What are some alternatives?
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
vscode-jupyter - VS Code Jupyter extension
yaegi - Yaegi is Another Elegant Go Interpreter
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
jupyter-rust - a docker container for jupyter notebooks for rust
lgo - Interactive Go programming with Jupyter
rust-script - Run Rust files and expressions as scripts without any setup or compilation step.
nyxt - Nyxt - the hacker's browser.
bincode - A binary encoder / decoder implementation in Rust.
nbview - View Jupyter Notebooks in your terminal
cargo-script - Cargo script subcommand