PHP vs Python for Backend: What to Choose in Practice in 2024

Introduction: The Eternal Debate of PHP and Python

Choosing a programming language for the backend is a fundamental decision that affects development speed, maintenance cost, and project scalability. PHP and Python are two giants of web development, each with its own army of supporters. PHP dominates the CMS market (WordPress, Drupal, Bitrix) and corporate portals, while Python has conquered the niches of Data Science, AI, and startups with rapid prototyping.

In this article, we will break down practical aspects: performance, ecosystem, hosting costs, learning curve, and typical use cases. You will get a clear answer on which language to choose for your specific task, rather than abstract reasoning.

1. Performance and Architecture: PHP vs Python in Practice

1.1 Request Execution Model

PHP was originally designed as a language for the web. Each HTTP request spawns a separate process or thread that lives exactly as long as needed to process the request. This makes PHP predictable and easy to debug. Example of a simple PHP script:

<?php\n// Simple request handler\n$name = $_GET['name'] ?? 'Guest';\necho "Hello, {$name}!";\n?>\n

Python (especially with Django or Flask) uses WSGI/ASGI servers (Gunicorn, uWSGI) that keep processes alive between requests. This saves resources but requires careful memory and state management.

1.2 Execution Speed

Modern PHP 8.x with JIT compilation outperforms Python by 2-4 times on typical backend tasks: request parsing, database operations, template rendering. Example benchmark: processing 10,000 read requests from MySQL:

However, for most projects, the difference in milliseconds is not critical. Architectural capabilities are more important.

2. Ecosystem and Ready-Made Solutions: Where PHP Wins

2.1 CMS and Out-of-the-Box Solutions

PHP is the undisputed leader in the number of ready-made CMS: WordPress (43% of all websites worldwide), Joomla, Drupal, 1C-Bitrix. If you need to quickly launch an online store or a corporate website, PHP with Laravel or WordPress will deliver results in weeks, not months.

2.2 Frameworks for Complex Projects

Laravel (PHP) and Django (Python) are the main competitors. Laravel offers a powerful ORM Eloquent, a migration system, built-in cache, and a job queue. Example of working with a database in Laravel:

<?php\n// Eloquent ORM - query with filtering\n$users = User::where('active', true)\n    ->where('role', 'admin')\n    ->orderBy('name')\n    ->take(10)\n    ->get();\n\nforeach ($users as $user) {\n    echo $user->email . PHP_EOL;\n}\n?>\n

Django is strong in admin panels and REST APIs, but its ORM is less flexible for complex queries. PHP gives more control here.

2.3 Hosting and Infrastructure

PHP hosting is cheaper and more accessible. $5-10/month on a VPS is enough for a site with 10,000 visitors per day. Python hosting requires more resources: at least $15-20/month for adequate performance.

3. When to Choose Python: Strengths

3.1 Data Science and Machine Learning

If your backend needs to process big data, build recommendation systems, or work with neural networks, Python is unrivaled. Libraries like NumPy, Pandas, Scikit-learn, TensorFlow have no equivalents in PHP.

Example of integrating an ML model into a Python backend:

# FastAPI - asynchronous endpoint\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\n\napp = FastAPI()\n\nclass Item(BaseModel):\n    text: str\n    model: str = "sentiment"\n\n@app.post("/predict")\nasync def predict(item: Item):\n    # Here, call the trained model\n    re