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Andrew DalPino talks to the Chicago User Group about high performance PHP. Today's PHP is a fast and efficient high-level application programming language. Modern additions to the core and ecosystem have allowed PHP engineers to achieve levels of performance that were unthinkable in the past. In this talk, we'll survey some of those improvements and demonstrate how we applied them to build the fastest and most advanced Machine Learning library for the PHP language, Rubix ML. You'll learn how to identify similar opportunities in your own codebase and how to benchmark particular areas of code so that you can refactor for performance. In the process, we'll touch on new features of PHP 7.4 such as Foreign Function Interface (FFI), explain concurrency frameworks like Amp, React PHP, and Swoole, and introduce a language that looks suspiciously like PHP called Zephir that lets you port performance-crucial code to a PHP extension with no sweat.