What does arange mean in python?
The arange function is used to create arithmetic arrays. It is used very frequently. arange is very similar to the range function. People who know python must often use the range function. For example, in the for loop, range is almost always used. Below we use range. Learn about arange. The difference between the two is that arange returns a data, while range returns a list.
arrange
Function description: arange([start,] stop[, step,], dtype=None) according to start Generate an ndarray with the range specified by stop and the step size set by step. dtype: dtype
Introduce numpy first. Another difference between arange and range is that arange is introduced before using it. Range does not need to be
Related recommendations: "python video tutorial"
Use a parameter to see how range and arange perform. range returns a list of 5 numbers from 0 to 4, while arange returns an array object. But their elements are the same.
Try entering two parameters. The first parameter is the starting point, and the second parameter is the ending point
Let’s try another starting point
If we enter three parameters, the third parameter becomes the step length
The above is the detailed content of What does arange mean in python?. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Oracle database file structure includes: data file: storing actual data. Control file: Record database structure information. Redo log files: record transaction operations to ensure data consistency. Parameter file: Contains database running parameters to optimize performance. Archive log file: Backup redo log file for disaster recovery.

Oracle database login involves not only username and password, but also connection strings (including server information and credentials) and authentication methods. It supports SQL*Plus and programming language connectors and provides authentication options such as username and password, Kerberos and LDAP. Common errors include connection string errors and invalid username/passwords, while best practices focus on connection pooling, parameterized queries, indexing, and security credential handling.

This article will explain how to improve website performance by analyzing Apache logs under the Debian system. 1. Log Analysis Basics Apache log records the detailed information of all HTTP requests, including IP address, timestamp, request URL, HTTP method and response code. In Debian systems, these logs are usually located in the /var/log/apache2/access.log and /var/log/apache2/error.log directories. Understanding the log structure is the first step in effective analysis. 2. Log analysis tool You can use a variety of tools to analyze Apache logs: Command line tools: grep, awk, sed and other command line tools.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

The hiding place of Oracle database on the C drive: Registry: Use the registry editor to search for "Oracle" to find information including installation path, service name, etc. File system: Oracle files are scattered in multiple locations in the C drive, including home directory, system files, temporary files, etc. Environment variables: The environment variables set by Oracle (such as ORACLE_HOME, ORACLE_SID) point to the installation directory and instance name. Careful action: When uninstalling Oracle, you not only need to delete files, but also clean the registry and services. It is recommended to use the official uninstall tool or seek professional help. Space management: Optimize disk space to avoid installing Oracle on C drive; clean temporary files regularly

The comparison between Laravel and Python in the development environment and ecosystem is as follows: 1. The development environment of Laravel is simple, only PHP and Composer are required. It provides a rich range of extension packages such as LaravelForge, but the extension package maintenance may not be timely. 2. The development environment of Python is also simple, only Python and pip are required. The ecosystem is huge and covers multiple fields, but version and dependency management may be complex.

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.
