Detailed guide to 15 Python editors/IDEs, there is always one that suits you!

#This article introduces multiple Python IDEs and evaluates their advantages and disadvantages. Readers can refer to the Python IDE list listed in this article to choose the editor that suits them.

#The best way to write Python code is to use an integrated development environment (IDE). Not only can they make your work simpler and more logical, they can also improve programming experience and efficiency.

Everyone knows this. The question is, how to choose the best Python development environment among the many options. Junior developers often face this problem.

This article will provide an overview of the most popular Python IDEs among programmers, as well as other options worth considering. Before that, let’s take a look at what an IDE is.

What is an IDE? What is the use of IDE?

An IDE is a software package used by developers to create programs. It integrates multiple highly connected components through a simple user interface to maximize programmer productivity. Essentially, an IDE is a tool that improves the process of creating, testing, and debugging code by making it easier.

Tools used by IDE include:

• Text Editor

• Compiler and/or interpreter

• Assembly automation tool

• Debugger

There is a similar term to IDE - code editor. Let’s first explore the similarities and differences between the two.

What is a code editor?

Code Editor is a text editor that can highlight syntax and layout code. Advanced code editor can develop and modify code.

Distinguishing Features of IDEs and Code Editors

What are the common advantages of IDEs and code editors? They both help developers:

• Store and reopen scripts

• Run code

• debug

• Highlight syntax

The most popular IDE for Python developers

##1. PyCharm

##Download address: https://www.jetbrains.com/pycharm/download/

PyCharm is developed by JetBrains, a well-known software development company. It is considered the best Python IDE when it comes to artificial intelligence and machine learning. Most importantly, Pycharm incorporates multiple libraries (such as Matplotlib and NumPy) to help developers explore more available options.

Compatibility: Windows, MacOS, Linux

Main plugins and features:

• Built-in developer tools

• Remote development capability

• Real-time editing mode

• IPython Notebook

##Advantages:

• PyCharm supports web development frameworks such as Pyramid, Flask and Django.

• # Provides smart code capabilities to perform more precise and faster bug fixes.

• Allows program development on remote hosts with the help of Docker and Vagrant connections and ssh terminals.

Disadvantages:

• ##Complex interface

• The cost of its advantages is high

2. Visual Studio Code

Download address: https://code.visualstudio.com/Download

Visual Studio Code is sometimes confused with the Visual Studio IDE, which is not a commonly used tool among Python users. VS Code is a complete code editor with many great features, and many programmers call it the best IDE editor.

Compatibility: Windows, Linux, Mac OS

Main plugins and features:

• Built-in git

• Custom tool extension plug-in

• Breakpoint debugging

• Interactive Console

##Advantages:

• Its Electron framework allows developers to use VS Code on almost any platform.

• #Debug directly in the editor.

• #Supports multiple keyboard shortcuts to speed up programming.

shortcoming:

• debug has limited functionality.

• #There are no built-in templates.

##3. Sublime Text

Download address: https://www.sublimetext.com/

Sublime Text is considered the best Python editor because it is simple, versatile, and convenient. It is widely used and available on different platforms.

Compatibility: Windows, Linux, Mac OS

Main plugins and features:

• Easy navigation for high performance

• Supports different packages to customize the editor

• Just one keyword to copy common code snippets

• Instant project switching and split editing

Advantages:

• Can handle multiple markup languages.

• #Allows the user to select the project they want to work on.

• Have important tools that can provide class and function wide indexing.

• #Provides a powerful API and organized ecosystem for high performance.

Disadvantages:

• Too advanced for novices.

• # Its git plug-in is not particularly powerful.

#4. VI/Vim

Download address: https://www.vim.org/

Vim ranks among the top 5 best Python IDE tools. It is a modal editor that can split files from "File Editing". Compared with the original Vi, Vim has made great progress and is more powerful.

Compatibility:Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, MorphOS

Main plugins and features:

• Its scripts allow you to perform almost any programming task in Python.

• #Ctags, to help achieve better tag navigation.

• #Built-in basic vocabulary completion.

Advantages:

• has a keyboard interface, which can improve efficiency.

• # Supports multiple plug-ins (such as version control tools, file management tools).

• Use .vimrc files to implement different extended functions (such as highlighting search results).

Disadvantages:

• The interface is clumsy and some developers find it inconvenient to use.

• # Its modal editor requires users to spend a certain amount of time learning.

##5. GNU Emacs

##Download address: https://www.gnu.org/software/emacs/emacs.html

GNU Emacs is also a strong contender for the best Python editor. It is often described as extensible, self-documenting, and real-time. Although it is not the newest in the industry, it is frequently upgraded to meet the needs of developers.

Compatibility:

Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, MorphOS

Main plugins and features:

• Using the Lisp programming language

• Syntax Coloring

• Support Unicode

Advantages:

• Lisp, as a second language, can help programmers program better.

• #Emacs is compatible with several different platforms.

• # Provides a large number of custom scripts for developers to use.

Disadvantages:

• Users may need to spend a little more time to learn this editor complex customization process.

• # It is a little more complicated to use than some other IDEs.

##6. IDLE

Download address: https://docs.python.org/3/library/idle.html

IDLE code editor is very popular among students. It is a built-in editor for Python. The editor is simple to use, versatile, and supports different devices. Developers can use IDLE to learn the basics before moving onto more complex tools.

Compatibility: Windows, Linux, Mac OS

Main plugins and features:

• tkinter GUI toolkit

• Multi-window interface

• With dialog box, browser and other configurations

Advantages:

• Allows users to highlight errors, auto-encode, and accurately identify them.

• #Has a lightweight Python shell.

• #Its built-in corrections can improve performance.

• #Allows users to search and replace files in the editor.

Disadvantages:

• does not support copying to the library.

• #Scripts cannot exceed 100 lines of code.

The best Python compatible IDE for machine learning, artificial intelligence and big data

Python is the best Python for machine learning, artificial intelligence One of the preferred languages ​​in fields such as , big data and more. This section will introduce IDEs suitable for Python development in these areas.

7. Atom

# #Download address: https://atom.io/

Atom is an open source editor that is compatible with almost all programming languages, such as PHP and Java. It's regularly updated, reliable, and versatile. Github has developed powerful features for Atom to provide a good programming experience, including multiple plug-ins such as the SQL queries package, the Markdown Preview Plus package, and packages for editing, visualizing, and rendering LaTeX equations.

##8. Spyder

Download address: https://www.spyder-ide.org/

Spyder is developed for data science of. It is an open source tool and is compatible with a large number of platforms, making it a better choice for novice IDE users. For flawless development, it incorporates several key libraries like NumPy, Matplotlib, and SciPy.

##9. JuPyter/IPython Notebook

Download address: https://jupyter.org/

Jupyter is a web-based editor that allows developers to build and run scripts or notebooks. It is relatively simple and more user-friendly. Jupyter also uses Seaborn and Matplotlib to perform data visualization.

Other Python development IDEs

This section will introduce some less famous and popular IDEs but equally worth a look.

##10. Eclipse PyDev

Download address:

https://www.eclipse.org/

https://www.pydev.org/

Eclipse is an open source editor and one of the preferred Python IDEs for Windows systems. Its extensions and plugins are expensive enough to build everything you want to build. Eclipse is supplemented by the PyDev extension, which enables intelligent debugging and improves code quality.

11. Eric Python

Download address: https://eric-ide.python-projects.org/

Eric is another A less popular Python IDE, but it's powerful and efficient. Whether it's business or personal use, Eric has the right features. It runs on all platforms.

##12. Wing

Download address: https://wingware.com/

Wing is a well-known Python IDE that can realize intelligent programming. Its editor is simple and easy to use, its debugger is powerful, and it supports remote programming, error checking and other functions. It is worth a try.

13. PyScripter

Download address:

https://sourceforge.net/projects/pyscripter/files/latest/download

PyScripter beats other Python IDEs for Windows systems with its superior features. It is also a useful Python IDE for Mac systems, and its commercial version supports most programming languages. PyScripter has a rich feature set but is also lightweight.

14. Pyzo

Download address: https://pyzo.org/start.html

Pyzo is a free and open source programming tool that can be used with any Python interpreter, even the Conda environment. Its two most prominent features are simplicity and interactivity. Simple and easy to use, perfect for novices.

15. Thonny

Download address: https://thonny.org/

##Thonny was developed by the University of Tartu and is a program suitable for novices member. Its interface doesn't have any complex or superfluous features, making it easy to get started. Another great thing for newbies is that you can see Python evaluate your expression at each step.

in conclusion

This article provides an overview of a number of excellent Python IDEs and other tools. Deciding which tool to use depends on convenience and proficiency with the tool. Of course, there are tools that everyone likes (like PyCharm), but you can try a few to see which one works best for you.

Some IDEs are suitable for novices, others are more professional, and each IDE has unique features and design. This article only provides some options from which readers can choose the Python IDE that suits them.

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