cosmopolitan VS go

The reality is a bit different, the work on Python 3.6 was checked into the Cosmopolitan repo and I have been able to use it for production workloads that are in pure python. [0]

As Cosmopolitan Libc has evolved, it has been possible to compile more software without modifications, and that includes latest Python through a project called superconfigure[1].

Last person who tried to reproduce it from scratch did it last week (granted it too them a few days of solid work) but in the end they ended with a portable binary with Python 3.11.9, brotli, ssl and asyncio for their work related project.[2]

[0] https://github.com/jart/cosmopolitan/tree/master/third_party...

Cosmopolitan https://github.com/jart/cosmopolitan and https://justine.lol/cosmopolitan/index.html

Some genius realized that you can actually embed valid win32 programs inside valid posix shell scripts, and found a way to make a C cross-platform solution out of it, meaning that you can write C programs that compile to a single executable that will run on (quoting the site) Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS

It all started from this post.

For this .args file, put one argument per line. This will run on start. You can use `/zip/mydepencency.anything` to read from files, but if you have an executable dependency you'll need to extract it first.

You can do this with any software you can compile with comsocc, by adding a call to LoadZipArgs[1] in the main function.

It'seasy to get started, your ideas will branch out as soon as you start playing with it.

[1]: https://github.com/jart/cosmopolitan/blob/master/tool/args/a...

FWIW there is ongoing work with good progress to add websocket support to redbean (https://github.com/jart/cosmopolitan/pull/967)

Check out this comment by jart (cosmpolitan author) here: https://github.com/jart/cosmopolitan/issues/766#issuecomment...

it might help but not sure how comprehensive it is! would it be a bad idea for you to check out the source code of other popular emulators (maybe iTerm 2^0) ?

0: https://github.com/search?q=repo%3Agnachman%2FiTerm2%20ansi&...

The binary was compiled with Cosmopolitan Libc [0], and therefore the binary will execute natively on Linux, Mac, Windows, FreeBSD, OpenBSD, NetBSD, and bare metal (BIOS boot).

I would call that portable.

[0] https://github.com/jart/cosmopolitan

will go on my "to try" list where i already have cosmopolitan [2]. my last setup (windows) was shiv + wine + nsis (used that as pyinstaller had some issues)[2]

[1] https://github.com/jart/cosmopolitan/issues/141#issuecomment...

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/.

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