What are the Python integrated development environments?
It is said that if you want to do your job well, you must first sharpen your tools. The learning process of Python is indispensable with an IDE or code editor, or an integrated development editor (IDE). These Python development tools help developers speed up Python development and improve efficiency. An efficient code editor or IDE should provide plug-ins, tools and other features that can help developers develop efficiently.
This article collects some of the best 10 Python IDEs that are very helpful to developers.
1.PyCharm
PyCharm is a Python IDE developed by JetBrains. PyCharm is used for the functions that general IDEs have, such as debugging, syntax highlighting, project management, code jumps, smart prompts, auto-completion, unit testing, version control... In addition, PyCharm also provides some good functions for Django development also supports Google App Engine. What’s even cooler is that PyCharm supports IronPython!
Related recommendations: "python video tutorial"
Sublime Text is one of the most popular editors among developers. It is versatile, supports multiple languages, and is very popular in the developer community. Sublime has its own package manager that developers can use to install components, plug-ins, and additional styles, all of which can enhance your coding experience. Although it is a paid software, the good news is that you can use it normally without paying. It just doesn't pop up a purchase window for you. If you have money, you still need to support genuine software.
5. Visual Studio Code
Visual Studio Code (VSCode) is a code editing tool developed for MS. It is free and open source and supports Windows and Mac. OS, Linux. VSCode is like a streamlined version of Visual Studio and an upgraded version of Sublime. Because VSCode is very lightweight, it is very smooth to use. For users with different needs, they can download and install the required extensions (Extensions). For configuring the Python development environment, it is easier to configure than Sublime. After VSCode is configured, the environment can be directly used for visual debugging. There is no need to type various prints or use pdb debugging commands. Return to F10 and F11 in Visual Studio.
6. Atom
Atom is a code editor created by GitHub programmers called "belonging to the 21st century". It is open source, free and cross-platform (supports the three major desktop platforms of Windows, Mac and Linux), integrates GIT and provides package management functions similar to SublimeText. As a modern code editor, Atom supports code highlighting (HTML) in various programming languages. / CSS / Javascript / PHP / Python / C / C / Objective C / Java / JSON / Perl / CoffeeScript / Go / Sass / YAML / Markdown, etc.), Compared with most other editors, Atom's language support is already The coverage is very comprehensive. In addition, its code completion function (also called Snippets) is also very easy to use. You only need to enter a few characters to expand it into various commonly used codes, which can greatly improve programming efficiency.
7. Emacs
GNU Emacs is an extensible, customizable text editor with even more features. At its core, Emacs is the Emacs Lisp parser, but supports text editing. If you already use Vim, give Emacs a try.
8. Spyder
Spyder (formerly Pydee) is a powerful interactive Python language development environment that provides advanced code editing, interactive testing, debugging and other features, supporting Windows, Linux and OS X system. Spyder is the default development tool in Anaconda's scientific computing tools. People who do data analysis and machine learning like this tool.
9. Thonny
Thonny is a python IDE developed based on python’s built-in graphics library tkinter that supports multiple platforms (windows, Mac, Linux). With syntax coloring, code auto-completion, debugging and other functions, if you are looking for a "lightweight" python IDE, you can try Thonny.
10. Wing
Wingware’s Python IDE is compatible with Python 2.x and 3.x, and can be combined with Django, matplotlib, Zope, Plone, App Engine , PyQt, PySide, wxPython, PyGTK, Tkinter, mod_wsgi, pygame, Maya, MotionBuilder, NUKE, Blender and other Python frameworks. Wing supports test-driven development and integrates unit testing, nose and Django framework execution and debugging functions. Wing IDE starts and runs very quickly and supports Windows, Linux, OS X and Python versions.
The above is the detailed content of What are the Python integrated development environments?. 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



PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.
