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10 Best Python IDE & Code Editors

Code Editors

Python is the most widely used programming language across the globe. If you are a newbie, it is highly advised to learn this language. We know the value of code editors with effective data processing and integrated development environments (IDEs) in programming, but selecting the ideal one can be challenging.

While you can write Python with just a basic text editor, employing a code editor or an IDE with extra tools can extensively boost your productivity. Today we will talk about Python’s code editors and IDEs, but first, let’s understand an IDE and a code editor.

Overview of a Code Editor

With features like syntax highlighting and code formatting, code editors are simple tools that let you write and modify code. Compared to IDE, it has fewer functionalities but can help in data modeling.

A Closer Look at Integrated Development Environment (IDE)

Integrated development environments (IDEs) are complete environments that include all the necessary tools for software development. In addition to handling the code (for instance, writing, editing, syntax highlighting, and auto-completion), it offers various programming-related functions, including debugging, execution, testing, and code formatting.

10 Best IDE And Code Editors

  1. Vim (CE):

An enduring code editor called Vim was created to replace VI. Although it may be downloaded for Windows, it is already installed for Mac OS and Linux. Despite frequent updates, there aren’t often any significant changes over the years.

  1. IDLE (IDE):

The Python-installed IDE by default is called IDLE. It has all the essential features, such as a Python shell window, autocompletion, highlighting, smart indentation, and a simple debug tool.

For learners, IDLE is a constrained IDE. It is lightweight to prevent overwhelming brand-new customers and doesn’t offer much customization. Nevertheless, IDLE’s performance and organization tools start to show their limitations as you work on more significant projects.

  1. Atom (CE):

Sublime’s performance/customization and quick setup time are balanced with Atom, an open-source CE that is more ready to use right out of the box. Electron front-end framework, a program for creating desktop applications using JS, CSS, and HTML, powers Atom, giving it a modern appearance.


  1. Codespaces (CE):

Codespaces is a brand-new cross-platform cloud-based CE that Microsoft created and made available in May 2020. A browser-based text editor, plugins, and a built-in command-line interface are all included.

It also supports Git repositories. Even while not connected to the internet, it is functional and will update after reconnecting. Although Codespaces is now free, the subscription models will eventually be made available.

  1. Visual Studio (IDE)

The generic IDE Visual Studio supports Python (PTVS) via a plugin named python tools. A built-in terminal, sophisticated unit test tools, and built-in support for Git are just a few features of this unique IDE. Moreover, it offers an extension marketplace akin to Atom.

IntelliSense, one of the top auto-completion tools for developers currently on the market, is included with Visual Studio. Moreover, you can create multiple plugins to enable web development technologies like Flask or Django.

  1. Sublime Text 3 (CE)

Many developers use Sublime Text, which is a very responsive code editor. Several Python versions are supported by Sublime Text, and you may choose your desired version to use for a given project.

All files but the largest open quickly in Sublime, making it practically incomparably fast. The third thing that differentiates Sublime is its high degree of customization via user-made plugin packages.

  1. Thonny (IDE)

Free Python IDE Thonny was created to be the best learning environment. Highlighting, autocompletion, debugging, and auto-formatting are embedded into the straightforward user interface (UI).

For beginners, it also contains special features like a variable value tracker that is visible adjacent to the primary editor. In order to help new developers concentrate on their work, all options are specified via menus rather than configuration files. Straightforward package management makes even the installation of plugins user-friendly for newbies.


  1. Spyder (IDE)

Data scientists and machine learning developers can use the Python-specific IDE called Spyder. In addition to Scikit-learn, Mumpy, Matplotlib, Scipy, and Pandas, it is part of the Anaconda distribution of Python software.

  1. PyDev (IDE)

Eclipse is a well-known Java IDE for open-source development, and PyDev is a free IDE plugin for it. In addition to supporting Python autocomplete, an interactive console, and debugging, PyDev includes all of Eclipse’s built-in controls.

With several tools ideal for web development, it is also integrated with Django. Being compatible with both Jython and Cython makes it one of the few IDEs that do so.

  1. PyCharm (IDE)

One of Python’s most popular cross-platform IDEs is PyCharm, which was created and frequently updated by the reputable JetBrains firm.

Version control, autocomplete, error highlighting, code refactoring, and more top tools are included with PyCharm. Using PyCharm, you may begin programming as soon as it is loaded, unlike other IDEs.


Choosing the right IDE and code editors based on your needs is one of the foremost steps toward building the right programming environment. A dedicated data science course can further help you hone your skills.

Education Nest is an effective platform to kickstart your upskilling journey. You can enroll in an insightful course like Data Scientist Bootcamp and dig deep into the field of data science with ease.

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