PHPT VS Faker

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.

Faker is a PHP project that allows you to generate data for various testing scenarios. It excels in multilingual support, capable of generating fake data in multiple languages and diverse formats. This feature allows testing multilingual applications and enriching databases with authentic-looking test data.

I've worked with PHP's Faker library and the seeder included with Laravel. I had been able to populate the database with fake data but now I'm working with Django.

Now let's generate fake data for our user's table using the Laravel package, Faker.

more infos on the documentation : https://github.com/fzaninotto/Faker

You can use the Faker library in your user factory file.

To learn elasticsearch, you need lots of data to make queries as you want. I searched a few places to get a valid dump. But I couldn't find any dump that I can go with. Also what I found online, I am not familiar with the types of data. So, I thought to make a generator of my own. I have already used Artisan Console and fzaninotto/Faker, that's why I thought to make a generator that anyone can use with their terminal and generate the dump the way they wish.

Model factories in Laravel allow you to generate dummy/fake data using the Faker PHP library. The Faker library allows generating random data by specifying various attributes. With factories you define fake data to be generated for each attribute/column of your model. This not only saves you time of manually inserting database records, but enables you to save thousands of records in your database within seconds.

The original has been archived due to the amount of effort it took to update and has been forked into https://github.com/FakerPHP/Faker/, which is what Laravel now uses.

👉 https://github.com/fzaninotto/Faker