cl-cookbook VS go

But after you get past some basic weird stuff, it's a quite wonderful language.

> I can only speak for myself, but I definitely reason about code outside in rather than inside out.

You can indent code to make it much easier to "parse", and use some macros that turn the code inside/out, it's more readable than most other languages.

The CL cookbook is an excellent resource, and this page links to several other excellent resources and books you can read for free online: https://lispcookbook.github.io/cl-cookbook/

The "new docs" also present the documentation in a "modern" looking way (rather than the 90's looks of what you get if you Google around): https://lisp-docs.github.io/cl-language-reference/

About other Lisps...

The Racket Guide is definitely not "bone-dry": https://docs.racket-lang.org/guide/intro.html

It is well written and looks very beautiful to me.

On another Scheme, I find Guile docs also great: https://www.gnu.org/software/guile/manual/html_node/index.ht...

They may be a bit more "dry" but they're to the point and very readable! In fact, I think Lisp languages tend to have great documentation.

> the problem with Lisp is that it's sorta bundled with Emacs

What's the problems with Alive, SLT, Slyblime, and Vlime? I mean, I use Emacs, but I was using Emacs before getting into Scheme and CL anyway.

> Every website that teaches Lisp is in ugly HTML+CSS-only style

I dunno, I feel like the Community Spec (<https://cl-community-spec.github.io/pages/index.html>) and the Cookbook (<https://lispcookbook.github.io/cl-cookbook/>) are fine.

> I like the philosophy of (s-exp) but modern lisps have ruined its simplicity for me by introducing additional bracket notations [like this].

Yes, that additional notation is a terrible blight on the perfection that is S-expressions, I wholeheartedly agree.

check out the editor section, there's more than Emacs these days: https://lispcookbook.github.io/cl-cookbook/editor-support.ht...

- https://github.com/CodyReichert/awesome-cl for libraries

- https://www.classcentral.com/report/best-lisp-courses/#ancho...

- a recent overview of the ecosystem: https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (shameless plug, on HN: https://news.ycombinator.com/item?id=34321090)

Q4: the Cookbook should get you straight to the point: build a website, web scraper, DB access, reference of data structures… https://lispcookbook.github.io/cl-cookbook/

It's a good book!

Modern companions would be:

- the Cookbook: https://lispcookbook.github.io/cl-cookbook/ (check out the editors section: Atom/Pulsar, VSCode, Sublime, Jetbrains, Lem...)

- https://github.com/CodyReichert/awesome-cl to find libraries

Also:

- https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/

- https://news.ycombinator.com/item?id=34321090 2022 in review

https://leanpub.com/lovinglisp -- this one is great, and the first thing I recommend

https://lispcookbook.github.io/cl-cookbook/ -- also great and up to date

https://awesome-cl.com/ -- for anything else.

Little help to boost your videos: https://lispcookbook.github.io/cl-cookbook/ look at the banner. Cheers.

For more beginner-friendly, I suggest P. Siebels Practical Common Lisp or The CL Cookbook. Both of those should be available in Emacs info format! If authors are lurking in here :-)

The description indicates it is not production ready, and is archived at the same time.

If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.

For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).

Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).

There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.