PHP vs Python for Backend: Choosing a Language in Practice

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Introduction: The Eternal Debate of PHP and Python in Backend Development

Choosing a programming language for the backend is not just a matter of personal preference. This decision affects development speed, project maintenance costs, and even scaling capabilities. The two most popular candidates — PHP and Python — have been competing for developers' attention for many years. But what should you choose in practice?

In this article, we won't be guessing blindly. We will look at real development scenarios, compare syntax, performance, and tools. And yes, we will write code in PHP so you can immediately assess its practical benefits.

If you are looking for an answer to the question "PHP vs Python: what to choose for the backend?", you've come to the right place. Let's go!

1. Ease of Entry and Development Speed

PHP: Start in 5 Minutes

PHP was created as a language for the web, and this is its main advantage. To run your first script, you don't need a complex stack — just a web server (Apache or Nginx) and the PHP interpreter. Most hosting providers already support PHP "out of the box."

Example of a simple REST API in pure PHP:

<?php// index.phpheader('Content-Type: application/json');

$method = $_SERVER['REQUEST_METHOD'];$uri = $_SERVER['REQUEST_URI'];

if ($method === 'GET' && $uri === '/api/users') {    $users = [        ['id' => 1, 'name' => 'Ivan'],        ['id' => 2, 'name' => 'Maria']    ];    echo json_encode($users);}?>

This code works immediately after being placed on the server. No additional libraries, virtual environments, or routing configuration needed.

Python: Requires Preparation

Python is more versatile, but for the web, it needs to be "prepared." You will need a framework (Django, Flask, FastAPI) and configuration of a WSGI/ASGI server (Gunicorn, uWSGI). A simple Flask API will require more lines of code and dependency installation.

Verdict: If you need to quickly launch a project and not spend time on infrastructure setup — PHP wins by a large margin.

2. Performance and Handling Load

PHP 8+: Modern Performance

With the release of PHP 8.x, the language gained JIT compilation, which significantly sped up code execution. Modern frameworks (Laravel, Symfony) are optimized for high loads. And popular CMSs (WordPress, Bitrix) run on PHP and serve millions of websites.

Example of request processing using caching in PHP:

<?php// Caching the result of an expensive queryfunction getExpensiveData(): array {    $cacheKey = 'expensive_data';    $cached = apcu_fetch($cacheKey);        if ($cached !== false) {        return $cached;    }        // Simulating an expensive computation    $data = [];    for ($i = 0; $i < 10000; $i++) {        $data[] = ['id' => $i, 'value' => md5($i)];    }        apcu_store($cacheKey, $data, 3600); // Cache for 1 hour    return $data;}

$result = getExpensiveData();echo json_encode($result);?>

This code shows how PHP efficiently manages memory and caching without additional tools.

Python: Good, But Not for the Web

Python is slower than PHP in typical web scenarios due to the GIL (Global Interpreter Lock). For high-load projects, asynchronous solutions (FastAPI + asyncio) or additional services (Redis, Celery) are required.

Verdict: For a typical backend (CRUD, API, database interaction), PHP shows comparable or better performance with lower resource consumption.