mojo VS PHPT

https://github.com/modularml/mojo/blob/main/LICENSE Is this not it?

Interesting, but the intent seems similar to Chris Lattner's new Mojo language which arguably has similar characteristics and is further along in its development.

https://docs.modular.com/mojo/

Mojo is a programming language that combines the performance and control inherent in systems languages like C++ and Rust with the flexibility and simplicity of use typical of dynamic languages like Python. Because of its combination of performance, extensibility, and usability, its design makes it possible to construct high-performance systems, which makes it a good option for AI development.

If you take a look at the optimized Mojo code doing the matrix multiply [1], it takes an expert to understand. It’s not just some simple for-loops in Mojo they’re comparing against.

[1] https://github.com/modularml/mojo/blob/5ce18c47a27c0c4123de1...

Mojo truly unlocks a world of possibilities in high-performance computing.

For a concrete example of Liquid Haskell, see how Gabriella Gonzalez safely removed bound checks of high-performance protocol parsing, in "Scrap your Bounds Checks with Liquid Haskell" [1].

With Liquid Haskell, the bound checks are moved from runtime to compile time, semi-automatically handled by SMT-solvers. With static types, programmers can write correct programs faster, and the programs also run faster.

As an aside, speeding up programs with static analysis (constrained dynamism) are also present in Mojo (a variant of Python) or Swift [2].

[1]: https://github.com/Gabriella439/slides/blob/main/liquidhaske... "Scrap your Bounds Checks with Liquid Haskell"

[2]: https://github.com/modularml/mojo/discussions/466 "Mojo and Dynamism"

In our latest story we show a couple of smart ways to get around some import conflicts in PHP.

The values [0, 15] represent 16 possible values, which is a power of 2.

The correct way to get an unbiased distribution from a sample of 2^x to a modulo that is not an even power of 2 is to use rejection sampling.

This is what RFC 6979 says to do https://datatracker.ietf.org/doc/html/rfc6979#section-3.2

But you can also see this technique in CSPRNG code; i.e. https://github.com/php/php-src/blob/d40726670fd2915dcd807673...

I am running this code on MacOS on Apple Silicon hardware which is crashing when using the JIT in a ZTS build of PHP, so the 1m 35s result is without JIT, it might be even faster if I could use it

49. PHP - $58,899

A little about me; I'm a web developer and have been for around 5 years, though I'd dabbled for years. I have experience with Perl and PHP but my day to day is JavaScript/TypeScript be it through NodeJS or ReactJS. I want to learn Rust for no specific reason other than it's fun to learn new things.

Consider a web application where requests are handled through NGINX as the web server and PHP as the dynamic backend language. Let’s say something in the application logic results in a fatal error or process termination. This doesn’t affect NGINX’s ability to serve a response to the client, which would most likely be an HTTP 503 - Service Unavailable message.

In the beginning, I used a technology called CGI to develop server applications written in Perl. This technology was later replaced by Microsoft’s ASP (Active Server Pages) and then PHP. PHP, which you may already know, is still powering over 77% of all the websites as of the time of writing (ever heard of WordPress?).

PHP

As Shopware is mostly based on the Symfony framework, which is in turn based on the PHP language, we should also consider learning about the basics, which will also be useful for other frameworks apart from Shopware, like Symfonycasts, symfony.com, php.net.