wscl
gophernotes
wscl | gophernotes | |
---|---|---|
4 | 10 | |
38 | 3,769 | |
- | 0.5% | |
6.9 | 3.0 | |
4 days ago | 6 months ago | |
TeX | Go | |
GNU General Public License v3.0 or later | MIT License |
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wscl
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Practical Common Lisp
You can't seriously say that, just because one targets a well-specified machine, that the language being used is well-specified. The determinism of a Clojure-on-JVM program would also be dependent on the particular code the Clojure compiler generates. In Common Lisp there is the Armed Bear Common Lisp implementation, which runs on a JVM. Does it benefit from JVM determinism or not? It probably does not, because the JVM is simply not aware of undefined behaviour that ABCL or Clojure are implicitly defining.
When it comes to having different platforms, it would also be necessary for any other compilers to generate semantically identical code. Different Clojure systems do _not_ do that. For example, arithmetic in ClojureScript uses JS floats where Clojure-on-JVM and others use integers of some size.
In my experience, writing a non-conforming CL program is hard, and much harder than writing a program without undefined behaviour in C. I am not sure why, other than vaguely suggesting the UB is more "localised" in some way. But there is also a modification of the ANSI standard being worked on, which attempts to eliminate undefined behaviour <https://github.com/s-expressionists/wscl>.
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Collective Code Construction Contract
Common Lisp was standardised by an ANSI committee. Here is a list of issues that were voted on. Nowadays there is also the Well Specified Common Lisp project, but no issues have been voted on yet.
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Why Lisp?
SICL is still an implementation of Common Lisp, and not of a new programming language (give or take some additional features, such as first-class global environments). That said, there is some overlap between the authors of SICL and the authors of Well Specified Common Lisp <https://github.com/s-expressionists/wscl>; but WSCL only really defines some undefined and contradictory behaviour in the ANSI Common Lisp specification.
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Revisited: A casual Clojure / Common Lisp code/performance comparison
The HyperSpec is a (derived work of a) language specification - its job is precisely to explain infrequently used things in too much detail. (And it ironically fails in many places.) Generally, one does not want to read a specification, unless they know they need to check something specific.
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
What are some alternatives?
nyxt - Nyxt - the hacker's browser.
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
SICL - A fresh implementation of Common Lisp
yaegi - Yaegi is Another Elegant Go Interpreter
whirlisp - A whirlwind Lisp adventure
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
clim.flamegraph - Flamegraph-style visualization of sb-sprof results in CLIM
lgo - Interactive Go programming with Jupyter
nbview - View Jupyter Notebooks in your terminal
PurefunctionPipelineDataflow - My Blog: The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).