There are two mathematical constants in Python, one is e and the other is PI.
e: Mathematical constant, e is the natural constant (natural constant).
PI: Mathematical constant (pi, generally represented by π).
Related recommendations: "Python Video Tutorial"
The so-called constant is a variable that cannot be changed. For example, the commonly used mathematical constant π is a constant. In Python, constants are usually expressed in all uppercase variable names:
PI=3.14159265359
But in fact PI is still a variable, and Python has no mechanism to guarantee that PI will not be changed. Therefore, it is just a convention to use all uppercase variable names to represent constants. If you must change the value of the variable PI, no one can stop you.
The above is the detailed content of How to express natural numbers in Python. For more information, please follow other related articles on the PHP Chinese website!
How to solve the permissions problem encountered when viewing Python version in Linux terminal?Apr 01, 2025 pm 05:09 PMSolution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...
How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PMThis 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
Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AMSerialization 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
How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PMThis 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
Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AMPython'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
Scraping Webpages in Python With Beautiful Soup: Search and DOM ModificationMar 08, 2025 am 10:36 AMThis 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
What are some popular Python libraries and their uses?Mar 21, 2025 pm 06:46 PMThe 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
How to Create Command-Line Interfaces (CLIs) with Python?Mar 10, 2025 pm 06:48 PMThis 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.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),
