gophernotes
SICL
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gophernotes | SICL | |
---|---|---|
10 | 26 | |
3,766 | 1,051 | |
0.8% | - | |
3.0 | 9.9 | |
6 months ago | 7 days ago | |
Go | TeX | |
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
SICL
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Ask HN: Guide for Implementing Common Lisp
This is a very approachable paper from 1990 on one way to do it with a C kernel bootstrapping to Common Lisp: https://www.softwarepreservation.org/projects/LISP/kcl/paper... Kyoto Common Lisp (KCL) is the ancestor of today's Embeddable Common Lisp (ECL).
SICL is probably the best modern version of CL written in CL from a design standpoint, even if it's not taking over SBCL's role anytime soon: https://github.com/robert-strandh/SICL It uses some fancy bootstrapping to have the whole language available early, e.g. their definition of class 'symbol is:
(defclass symbol (t)
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An implementation of Common Lisp targeting Lua
That's pretty much the objective of SICL, which is "intentionally divided into many implementation-independent modules that are written in a totally or near-totally portable way, so as to allow other implementations to incorporate these modules from SICL, rather than having to maintain their own, perhaps implementation-specific versions".
https://github.com/robert-strandh/SICL
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Strong typing, a hill I'm willing to die on
Gladly!
https://github.com/robert-strandh/SICL (which I wrote a decent chunk of the compiler backend of.)
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lisp-in-lisp: an experimental implementation of the lisp interpreter in itself
I applaud your curiosity and initiative to explore. Are you aware of https://github.com/robert-strandh/SICL?
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NSA urges orgs to use memory-safe programming languages
I mean this Klein and this SICL. Self and Common Lisp are memory-safe, though the implementations need capabilities to manipulate memory; SICL encapsulates them using first-class global environments.
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Re-targeting (Lisp) compilers
There is significant overlap with SICL and its associated pieces which supply many of the other parts needed to make a Common Lisp. Some of these are Cluster which provides a portable and extensible assembler, Eclector which supplies a portable and extensible reader, Concrete-Syntax-Tree that supports source code tracking during compilation, ctype that implements the Common Lisp type system, and Clostrum that provides first-class environments for e.g. run-time, evaluation, and compilation. The SICL project has as one of its goals the creation of portable infrastructure for implementing Common Lisp, and these pieces are novel building blocks that were created as part of the project.
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Question from a new Lisper
Not really; you can do it with primitive operations e.g. here is the list in the Cleavir compiler and a paper on "magic" in Jikes RVM. SBCL also has a "virtual op"/vop language for code generation, and vops are written to manipulate objects with assembly snippets.
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
Both work. I basically never have to touch C or even FFI (cl+ssl being the main use of FFI for me), unless I am poking at SBCL guts in my spare time, and that isn't necessary either. I am sure many Haskell hackers are happy with their IO monad too.
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Some questions from a new user.
It's used in operating systems, compilers and CLIs.
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Open source compilers that use three address code as IR?
The Cleavir Common Lisp compiler uses three-address instructions in a control-flow graph, though it is intended more for production use than educational use.
What are some alternatives?
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
HVM - A massively parallel, optimal functional runtime in Rust
yaegi - Yaegi is Another Elegant Go Interpreter
clasp - clasp Common Lisp environment
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
whirlisp - A whirlwind Lisp adventure
lgo - Interactive Go programming with Jupyter
one-more-re-nightmare - A fast regular expression compiler in Common Lisp
nyxt - Nyxt - the hacker's browser.
river-runner - Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.
nbview - View Jupyter Notebooks in your terminal
Cleavir - an implementation-independent framework for creating Common Lisp compilers