Best IDEs for Python Development: Which One to Choose? published 3/21/2023 | 4 min read

As Python continues its rapid rise in popularity, more and more developers are beginning to use the language. However, it's essential to choose the right environment to develop your Python applications in. The right Integrated Development Environment (IDE) can make debugging applications or writing code faster, more comfortable, and, most importantly, enjoyable.

In this article, we will take a look at the top Python IDEs and help you choose the best one for you. So whether you're a beginner or a seasoned Python developer, keep reading to see which options might work best for you.

1. PyCharm

PyCharm is a cross-platform IDE that allows developers to work with Python in a professional environment. It has many features relevant to Python developers, including advanced code-analysis, easy debugging, and code suggestions. PyCharm Professional edition comes with support for Django, Flask, Pyramid, and other web development frameworks. Pycharm provides extensive support for HTML, CSS, and JavaScript code.

PyCharm also includes built-in unit testing and test-driven development (TDD) tools, making it an all-in-one solution for Python development. PyCharm's debugging tools are one of the best and easiest to use, allowing for easy integration with popular testing frameworks like Unittest, Pytest, and Nose.

2. Visual Studio Code

Visual Studio Code (VS Code) is a popular open-source code editor developed by Microsoft. Although it is not strictly an IDE, with the right extensions, it becomes a powerful Python development environment. VS Code is lightweight, fast, and provides an excellent debugging experience with the Python Language Server extension.

VS Code provides essential features such as syntax highlighting, code completion, and Git integration. With the right extensions installed, VS Code becomes a powerful code editor that can handle even the most complicated Python applications.

3. Spyder

Spyder is a powerful Python IDE that provides essential features like debugging, profiling and introspection. The IDE is designed to be lightweight, so it’s a great choice for those who don’t require an environment as powerful as PyCharm. Spyder provides excellent integration with SciPy and NumPy, making it an ideal solution for data scientists.

4. Anaconda

Anaconda is a Python distribution platform that provides everything a Python developer needs. It includes popular IDEs like Spyder and Jupyter Notebook and comes with all the popular Python libraries like NumPy, Pandas, and Scikit-learn. With Anaconda, Python supports not just scripting, but also integrated activities such as visualizations and statistical computations.

Anaconda is available for all operating systems with a graphical installer, so both Linux and macOS users can use it with ease.


IDLE is a friendly beginner’s IDE that comes preinstalled with Python distribution platforms like It's the most basic Python IDE that can provide a simple text editor with basic syntax highlighting to its users.

IDLE provides a code editor with basic features like syntax highlighting, single-step debugging, and the ability to run scripts. It may not have all of the features of PyCharm or Spyder, but it is effortless to use and a great option for those new to Python.


In conclusion, the best Python IDE for you depends on your requirements as a developer, the principles you follow and even the design of the code. Our recommendations are merely a guide, and you should experiment with the different IDes to see which one suits your needs the best.

Choosing the right IDE for Python development can significantly impact your coding experience. Whether you choose PyCharm, VS Code, Spyder, Anaconda, or IDLE, you can't go wrong with the most popular options. Try them out, and you might find that a carefully optimized Python editor can take your coding to the next level.

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