githut VS go

This is the best measure I've found:

https://madnight.github.io/githut/#/pushes/2023/4

Unfortunately it doesn't have new projects, but it does seem like C++ peaked a couple of years ago and is starting to trend down. "Plummeting" is clearly an exaggeration though.

>There's a lot of misinformation, bad arguments and bad conclusions in this post. Let's pick it apart.

No, there really isn't, but I had fun answering :-)

> But, past isn't a guarantee of the future. It was stable before, but who's to say it will be in the future?

Whos to say C will be stable tomorrow? Well, the fact that the C compiler is a standard, and has an official document outlining what a C compiler does. And go is the same.

If anyone was to change that, all I have to do is check out an earlier version of this open source language, and use that. And since tons of code rely on this, that is what would happen.

Languages don't become unstable because they suddenly change trajectory, they are unstable if feature upon feature is heaved upon them, along with codebases relying on these features, necessitating constantly keeping up to date with the language version.

Go, explicitly, has a completely different design trajectory. And as a result, Go code that was written in Go 1.8 will still compile today.

> Go has no standard

Here is the official spec of the language: https://go.dev/ref/spec

Which is a de-facto standard, even according to this listing: https://en.wikipedia.org/wiki/Comparison_of_programming_lang...

Btw. if you look at the listing, MOST languages, including commonly used ones, don't have an international or national standard. Many don't even have a de-facto standard. Among them are many tried and battle tested languages.

> and nobody will hold them responsible for the discrepancy.

Anyone unhappy with the implementation is free to fork the project and take it in a different direction. He who writes the code makes the rules. If people are unhappy with that, they can fork, or use another language. And people seem to be very happy with the language: https://madnight.github.io/githut/#/pull_requests/2023/3

> By who? How did you come to this conclusion? There's only evidence to the contrary of your argument.

What evidence is there for the assumption that Go would vanish if Google lost interest?

> This is demonstrably false.

No, it is not, as demonstrated by the example I gave regarding C. The language didn't change much from C99, which itself wasn't that big a step away from ANSI-C. C99 was a quarter century ago, and C remains one of the most used languages in existence.

> To further illustrate this point: today, versions of Python

I am pretty sure I never used Python as an example for this. If you disagree, quote where I did.

> In more broader terms, I have no idea why did you bring C into this argument.

For a very simple reason: To show that languages that a language that is mostly feature-freezed, and so stable that I can run a modern compiler on decades-old unchanged code, and still get a runnable executable, can be, and are, incredibly successful. Go has been called "C for the 21st century", and for everything other than System-Programming, that statement holds true.

fad - an intense and widely shared enthusiasm for something, especially one that is short-lived and without basis in the object's qualities; a craze.

---

I don't think Ruby is a fad. The drop off Ruby had since early 2010s is dramatic, but it stabilized around 5% of all PRs on GH in the last few years:

https://madnight.github.io/githut/#/pull_requests/2023/2

It's still one of the most popular languages for web development.

I would beg to differ.

On Github[0], Go currently sits at #3 for pull request volume (C# is at 10), #3 for stars (C# is at 8), #6 for pushes (C# is at 10) and #6 for stars (C# is at 9). By each of those metrics, Go has a much more vibrant ecosystem than C#.

[0]: https://madnight.github.io/githut/#/pull_requests/2023/2

One measure is git pushes on GitHub. By that measure[0], in Q1 2023, we have Emacs Lisp (2995 pushes) > Clojure (2135) > Scheme (1350) > Common Lisp (236) > Racket (below detection; latest in Q1 2022: 102).

[0]: https://madnight.github.io/githut/

> 20 years ago I might've agreed with you. But I do not think that PHP, BASIC and shell scripting are popular beginner languages in 2023.

PHP and shell scripting are still massively used in 2023 (eg https://madnight.github.io/githut/#/pull_requests/2023/1). You have a point about BASIC but it was the de facto standard for computers at a time when people didn't have the web to quickly look up problems and thus learning to code was much harder. Yet we (in fact I) managed just fine.

> Quotation marks and especially parentheses after function calls don't fit TFA's definition of a sigil because they aren't at the beginning of the word and (arguably only in the latter case) don't communicate meta-information about the word.

I didn't say they are sigils. I said they're tokens. My point was that removing sigils doesn't remove meta-information encoded in magic characters:

- You have `foobar()` where the braces denote (call the function rather than pass the function reference

- "" == string which allows escaping and/or infixing vs '' which doesn't (other languages have different tokens for denoting string literals, like `` in Go)

- # in C and C++ is a marco

- // is a line comment in some languages. Others use #, or --

- Some languages use any of the following for multi-line comments: ```, /* /, and even {} is used. Whereas it's an execution block in some other languages

My point is you have to learn what all of these tokens mean regardless of whether they sit as a prefix or not. The that that they're a sigil doesn't change anything.

The real complaint people are making here is about specific languages, like Perl, overloading sigils to do magical things. That is a valid complaint but, in my opinion, it's a complaint against overloading tokens rather than sigils specifically. Much like a complaint about operator overloading doesn't lead to the natural conclusion that all operators are bad.

> don't communicate meta-information about the word.

We need to be careful about our assumption about whether a token effectively communicates meta-information because while I do agree that some tokens are more intuitive than others, there is also a hell of a lot of learned behaviour involved as well. And it's really* hard to separate what is easier to understand from what we've just gotten so use to that we no longer give a second thought about.

This is a massive problem whenever topics about code readability comes up :)

> I'll agree with you that the line between sigils and general syntax/punctuation is a bit of a blurry one - where do you stop?

shrugs...somewhere...? You can't really say there should be a hard line that a language designer shouldn't cross because it really depends on the purpose of that language. For example the language I'm currently working on makes heavy use of sigils but it also makes heavy use of barewords because it's primary use is in interactive shells. So stricter C-like strings and function braces would be painful in a read once write many environment (and I know this because that was my original language design -- and I hated using the shell with those constraints).

In a REPL environment with heavy use of barewords, sigils add a lot to the readability of the code (and hence why Perl originally adopted sigils. Why AWK, Bash, Powershell, etc all use them, etc).

However in lower level languages, those tokens can add noise. So they're generally only used to differentiate between passing values vs references.

But this is a decision each language needs to make on a case by case basis and for each sigil.

There also needs to be care not to overload sigils (like Perl does) because that can get super confusing super quick. If you cannot describe a sigil in one sentence, then it is probably worth reconsidering whether that sigil is adding more noise than legibility.

> sing my definition above, I think wrapping strings in quotation marks is a clear win because it fits our widely-held shared understanding that quotation marks demarcate and group a sequence of words. Single and double quotes behaving differently is unintuitive for the same reason while not conferring a corresponding benefit on experts.

Here lies the next problem for programming languages. For them to be useful, they need to be flexible. And as languages grow in age, experts in those languages keep asking for more and more features. Python is a great example of this:

- ''

- ""

- ''' '''

- """ """

- f""

...and lots of Python developers cannot even agree on when to use single and double quotes!

I tried to keep quoting simple in my own language but I ended up with three different ways to quote:

- '' (string literals)

- "" (strings with support for escaping and infixing)

- %() (string nesting. For when you need a string within a string within a string. Doesn't come up often but useful for dynamic code. A contrived example might look like: `tmux -c %(sh -c %(echo %(hello world)))` (there are certainly better ways you could write that specific code but you get the kind of edge case I'm hinting at).

As much as languages do need to be easy to learn, they shouldn't sacrifice usability in the process. So it is a constant balancing act trying to make something easy to learn, yet also powerful enough to actually have a practical use. Not to mention the constant push and pull between verbosity where some claim fewer characters (eg `fn` as a function keyword) improves readability because it declutters the screen from boilerplate, while others say terms like `function` are more readable because it is closer to executable pseudo-code. Ultimately you cannot please all of the people all of the time.

The official julia user developer survey for 2022 lists GitHub as the largest platform of people using julia which intuitively also seems fitting to me as it seems like the community is very pro "open code, open science". But checking the GitHub language trends (via https://madnight.github.io/githut/ and https://tjpalmer.github.io/languish/) you can see that Julia has been rather stagnant since 2019 w.r.t. some measures and only slowly growing w.r.t. others.

It seems to me they made the same mistake that I did in my GitHub archive queries, they do not filter bot accounts. JavaScript, without filter, is on top 1 because of dependabot. If you filter all bots then Python is number 1, see: https://madnight.github.io/githut/#/pull_requests/2023/1

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/.