11 Python IDEs and Code Editors for Mac, Linux & Windows

9 min read

Python powers innovation across industries, from tech giants to emerging startups, supporting everything from Data Science and Machine Learning to AI and automation. With its popularity continuing to grow, developers need efficient tools to streamline their workflow and maximize productivity. This article takes a look at some of the top Python IDEs and code editors available today, helping you choose the ideal setup for your coding journey.

What is an IDE?

An Integrated Development Environment is an application that provides a comprehensive set of tools for software development. An IDE typically includes:

• Code Editor
• Debugger
• Compiler or Interpreter
• Other tools specific to the programming language being used.

Python IDEs centralize these resources, enabling developers to write, run, and debug code efficiently in one place. Many also offer syntax highlighting, code completion, and error checking to enhance code quality. Mastering Python IDEs not only improves productivity but also strengthens Data Science skills.

What are Code Editors?

A Code Editor is a basic text editor designed specifically for software development. It provides features such as code highlighting, indentation, and code completion but typically only includes some of the features that an IDE provides. Code editors are commonly used by developers who prefer a lightweight and simple tool or work on smaller projects.

Difference Between IDEs and Code Editors

Refer to the image below to know more about Python IDEs vs Code Editors differences –

Python IDEs	Code Editors
Comprehensive software development tools that combine a code editor, tools and debugging capabilities	Lightweight software that provides basic code editing features
Advanced features such as code refactoring, code completion, and code navigation	Basic features such as syntax highlighting and code folding
Support for multiple languages, including complex languages such as Java and C#	Support for multiple languages, but may not have advanced features for more complex languages
High resource usage due to multiple features	Low resource usage, making them faster and more efficient
Steeper learning curve due to the multitude of features	Easier learning curve due to the simplicity of the tool
Highly customizable and can be configured to suit specific development needs	Customizable to a lesser extent, but still can be configured with plugins and extensions
Used by professional developers and large development teams	Used by beginner developers and small development teams
Examples – Eclipse, Visual Studio, NetBeans	Examples – Sublime Text, Atom, Notepad++

Understanding Unit Test framework and Test Driven Development is as important as knowing about best Python IDEs. Read the article to know more!

11 Best Python IDEs and Code Editors in 2023

Python IDEs have their strengths and weaknesses, and the best choice for you will depend on your specific needs and preferences. Check out the best Python IDEs to use in 2023:

PyCharm

PyCharm is a popular Python IDE that provides code analysis, debugging, refactoring tools, and support for web development frameworks such as Django and Flask. You can find the PyCharm python script below:

👁 PyCharm

• Cost: Free and paid versions available
• OS: Windows, macOS, Linux
• Pros: Excellent code completion, smart refactoring, built-in debugging and testing tools, integration with web development frameworks, and plugins for additional functionality.
• Cons: Can be resource-intensive and has a steep learning curve.
• Official Website

Visual Studio Code

Visual Studio Code is a lightweight and versatile code editor that offers excellent support for Python development with features like debugging, IntelliSense, and Git integration. It is one of the best free Python IDEs. You can find the python editor tutorial below:

👁 Visual Studio Code

• Cost: Free
• OS: Windows, macOS, Linux
• Pros: Lightweight, customizable, supports a wide range of programming languages, including Python, built-in debugging and Git integration, and a large library of extensions and plugins.
• Cons: Not as feature-rich as full-fledged IDEs, and some plugins may have compatibility issues with updates.
• Official Website

Spyder

Spyder is an open-source scientific Python IDE, which is especially popular among data scientists and researchers. It includes tools for interactive data exploration, visualization, support for the scientific Python ecosystem, and has an ipython shell. You can find the python script below:

👁 Spyder

• Cost: Free
• OS: Windows, macOS, Linux
• Pros: Scientific IDE with built-in support for data exploration and visualization, integration with scientific Python libraries, and a user-friendly interface.
• Cons: Not as versatile for non-scientific Python projects, and may not have as many third-party plugins as other IDEs.
• Official Website

Sublime Text

Sublime Text is a fast and customizable code editor that offers a wide range of features, including code highlighting, snippets, macros, and support for multiple programming languages, including Python.

👁 Sublime Text

• Cost: Free with limited features, $80 for a license
• OS: Microsoft Windows, macOS, Linux
• Pros: Fast, customizable, supports multiple programming languages, including Python, and has a large collection of plugins and themes available.
• Cons: Does not have built-in debugging tools or other advanced features of full-fledged IDEs.
• Official Website

Atom

Atom is an open-source code editor that offers customizable themes, syntax highlighting, and support for various programming languages, including Python. It also includes a wide range of third-party packages and plugins that can extend its functionality.

👁 Image

• Cost: Free
• OS: Windows, macOS, Linux
• Pros: Open-source and highly customizable, supports multiple programming languages, including Python, and has a large library of third-party packages and plugins.
• Cons: Can be resource-intensive and may have performance issues with large projects.

Jupyter Notebook

Jupyter Notebook is a web-based interactive data analysis and visualization environment which supports various programming languages, including Python. Considered the best free Python IDE, it allows users to create and share documents containing live code, equations, visualizations, and narrative text.

👁 Jupyter Notebook

• Cost: Free
• OS: Web-based, accessible from any device with a web browser
• Pros: Provides an interactive web-based environment for data exploration and visualization, supports multiple programming languages, including Python, and can be easily shared with others.
• Cons: Not as powerful or feature-rich as full-fledged IDEs, and can be less suitable for large-scale software development.
• Official Website

IDLE

IDLE is an essential integrated development environment with the Python programming language. It provides basic features such as syntax highlighting, code completion, and debugging tools.

👁 IDLE

• Cost: Free (included with Python distribution)
• OS: Microsoft Windows, macOS, Linux
• Pros: Basic and easy to use, with support for syntax highlighting, code completion, and debugging tools.
• Cons: Lacks more advanced features of full-fledged IDEs, and may not be suitable for large-scale projects.
• Official Website

Wing IDE

Wing IDE is a powerful and feature-rich IDE for Python development, which provides advanced debugging, testing, and code analysis tools. It also includes support for web development frameworks such as Django and Flask.

👁 Wing IDE

• Cost: Free and paid versions available
• OS: Windows, macOS, Linux
• Pros: Provides powerful debugging and testing tools, supports web development frameworks such as Django and Flask, and has a user-friendly interface.
• Cons: Paid version may be expensive, and the free version may have limited functionality.
• Official Website

Emacs

Emacs is a highly customizable text editor that supports various programming languages, including Python. It includes a wide range of plugins and packages that can extend its functionality and powerful tools for code navigation and editing. It is considered to be among the best free python IDEs.

👁 Emacs

• Cost: Free
• OS: Microsoft Windows, macOS, Linux, BSD, and other Unix-like systems
• Pros: Highly customizable and extensible, supports a wide range of programming languages including Python, includes powerful editing features, and can be used for tasks beyond coding such as email and text editing.
• Cons: Has a steep learning curve, and the customization process can be time-consuming.

Komodo IDE

Komodo IDE is a professional-grade IDE that supports multiple programming languages, including Python. It includes features such as debugging, code profiling, and collaboration tool, making it a popular pick amongst all Python IDEs.

👁 Komodo IDE

• Cost: Free and paid versions available
• OS: Microsoft Windows, macOS, Linux
• Pros: Offers a full-featured environment for Python and other languages, with built-in debugging and testing tools, support for web development frameworks, and a user-friendly interface.
• Cons: The paid version may be expensive, and the free version may have limited functionality.
• Official Website

PyDev

PyDev is an open-source IDE for Python development built on the Eclipse platform. It supports debugging, code completion, refactoring, interactive console and integration with various web development frameworks.

• Cost: Free
• OS: Windows, macOS, Linux
• Pros: A plugin for the Eclipse IDE that provides a full-featured environment for Python development, with code completion, debugging tools, and support for web development frameworks such as Django and Flask.
• Cons: May be resource-intensive, and has a learning curve associated with learning the Eclipse IDE.
• Official Website

Liking our Python IDEs breakpoints? Read our latest article on Awesome Python Packages and Example Projects to Build!

How to Pick a Good Python Coding Environment?

Several criteria define a good Python coding environment, but here are three important ones:

• Ease of Use: A good Python coding environment should be user-friendly and easy to navigate. It should have an intuitive interface that lets you quickly locate and access the needed features.
• Flexibility and Customization: A good Python coding environment should allow you to customize and configure it to suit your specific needs. This includes adding plugins or extensions, changing themes, and adjusting the layout to suit your preferences.
• Features and Functionality: A good Python coding environment should provide all the necessary parts and functionality you need to be productive. This includes syntax highlighting, auto-completion, debugging tools, version control, and other features that can help you write, test, and debug code more efficiently.

What makes a good coding environment can vary depending on your needs and preferences. For example, some developers may prioritize speed and performance over ease of use, while others may prioritize collaboration and integration with other tools. Ultimately, the best Python coding environment is the one that works best for you and your workflow.

Conclusion

There are some of the best Python IDEs that make the life of a developer easier. Python is a popular and powerful programming language used in many applications. Analytics Vidhya can help make your coding process easier and more efficient. We offer a comprehensive Python coding course to help you learn Python programming from scratch and develop advanced skills. By enrolling in this course, you can gain the knowledge and skills you need to use Python IDEs and take your coding skills to the next level.
Analytics Vidhya is a well-known online learning platform that offers a wide range of courses, resources, and forums for data science, artificial intelligence, and machine learning enthusiasts. It is a great platform for learners who are looking to gain practical skills in data science and machine learning. Its high-quality content, interactive learning, community support, and affordability make it a popular choice among learners.

Frequently Asked Questions

Login to continue reading and enjoy expert-curated content.

Free Courses

Become an Author

Share insights, grow your voice, and inspire the data community.

• Reach a Global Audience
• Share Your Expertise with the World
• Build Your Brand & Audience

• Join a Thriving AI Community
• Level Up Your AI Game
• Expand Your Influence in Genrative AI

👁 imag