gojq VS go

Yeap i've talked to itchyny quite a lot about various changes https://github.com/itchyny/gojq/issues/153 and also upstreamed quite a lot https://github.com/itchyny/gojq/issues?q=author%3Awader like custom iterators (to allow eval, own iterators and "empty" functions), query marshalling (query rewrite tricks) and a bunch of small things and bug fixes. But the largest change to add a JQValue interface is quite complex, other changes like extended literals is also a bit tricky.

Hmm weird list of changes for https://github.com/wader/gojq/compare/fq...itchyny:gojq:main but i guess it is because i haven't kept my main branch in sync. The fq branch should be based on latest gojq/main as of now. I usually try to rebase as quick as possible.

Let me know if you have any other questions or want to help out! maybe email etc as i usually don't check HN comments replies that often :)

gojq has support for yaml input (via a very annoying argument name) and also has the golang property of "curl binary; chmod; profit": https://github.com/itchyny/gojq#difference-to-jq

It's error reporting is also clang-vs-gcc level wizardry, and I often use it to get a helpful message instead of "ENOWORKY" from jq (I haven't tried 1.7 yet, so it could be better for all I know)

Some competition for https://github.com/itchyny/gojq. I had read somewhere that it was faster than jq - no idea if that's still the case.

JQ has a go implementation usable as a library I see. The project looks fairly active https://github.com/itchyny/gojq

I've been getting a lot of mileage out of https://github.com/itchyny/gojq#readme recently due to two things: its vastly superior error messages and the (regrettably verbose) `--yaml-input` option

I also have https://github.com/01mf02/jaq#readme installed but just haven't needed it

I use gojq with --yaml-input or --yaml-output and flip back and forth between JSON and YAML promiscuously and have 100% jq UI compat, which helps because I use jq a lot. First thing I looked at on yq is '-s', which is 'slurp' for jq. Slightly altered semantics would just trip me up, and it seems like you can make a nearly straight bijection between YAML and jq so you can just do exactly the same things with either one (with some minor exceptions.)

https://github.com/itchyny/gojq

jq https://github.com/itchyny/gojq

github.com/itchyny/gojq -> similar to goawk, except JQ this time

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.

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/.

The Go Programming Language

When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:

https://github.com/golang/go/issues/16606

If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.

Sadly, I think that is indeed radically different from Go’s design. Go lacks anything like sum types, and proposals to add them to the language have revealed deep issues that have stalled any development. See https://github.com/golang/go/issues/57644