The difference between php and python-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

The difference between php and python

silencement

Jun 26, 2019 pm 02:38 PM

The difference between php and python

In this era of Internet big data, technologies such as web development and data analysis have also become the employment direction for a large part of the population. Major programming languages are flourishing on the Internet, and languages such as PHP and Python can be said to be household names. So for beginners, if they want to enter a certain direction in these fields, they may have difficulty choosing at this time.

First we need to understand what PHP and Python can be used for?

PHP is the hypertext preprocessor. It is widely used in web development. For example, most PC websites, mobile web pages, shopping malls, etc. are basically developed in PHP. PHP focuses on the Internet field.

Python is a computer programming language. It is widely used in fields such as system network operation and maintenance, data analysis, and artificial intelligence. It is also widely involved in the field of game development, such as Disney's Toontown and Blade of Darkness.

Then let’s talk about the difficulty level. Compared with PHP, Python is more flexible, simple and easy to learn, and will not easily crash due to a small mistake. PHP requires more time and energy to study and study, and the code is very rigorous, and it will crash if there is an error. In fact, no language can be mastered at a glance, and it takes effort and time. Just for beginners, Python technology is relatively easy to get started.

Learning a language technology is also inseparable from various tools. Tools can make your work more efficient and convenient. The most popular frameworks for PHP include Laravel, Symfony, Yii, TP, etc. These frameworks can solve your different tasks with simple programs, while Python does not have so many frameworks.

Finally, let’s talk about employment and salary. We can check online that the salary of PHP programmers is about 10,000. However, Python talents are scarce and the salary is much higher than that of PHP, about nearly 20,000.

In fact, in addition to beginners who want to learn a new language, there are also scholars who already have a certain language foundation. They also want to learn more languages, such as converting PHP to Python or For scholars who convert Python to PHP, it is effortless for them to learn a new language. After all, the more knowledge, the better.

The above is the detailed content of The difference between php and python. For more information, please follow other related articles on the PHP Chinese website!

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

How to Use Python to Find the Zipf Distribution of a Text FileMar 05, 2025 am 09:58 AM

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PM

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AM

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti

How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PM

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AM

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

What are some popular Python libraries and their uses?Mar 21, 2025 pm 06:46 PM

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

Scraping Webpages in Python With Beautiful Soup: Search and DOM ModificationMar 08, 2025 am 10:36 AM

This tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex

How to Create Command-Line Interfaces (CLIs) with Python?Mar 10, 2025 pm 06:48 PM

This article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.

See all articles