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The best Python IDEs


IDE stands for Integrated Development Environment. This term stands for a tool that allows you to write, test, and debug your code more easily. This includes code completion, better clarity through highlighting, and resource management.


Because of all these features that IDEs have to offer, they are extremely useful for development and they make programming more convenient.

Especially if you're just getting started with programming and data science, you may be wondering which tools and development environment is best to use.


There are many good development environments for Python. Therefore, it is a difficult task to make a selection here. There are many criteria (e.g. complexity, price, features, visualization, etc.) that play a role in the evaluation and ultimately, it always depends on the task you want to perform.


We have made a selection of the most popular IDEs below, and tried to show some features to hopefully help you decide. You can see this information as a guide but should definitely test your personal choice before you decide on a tool.



PyCharm


PyCharm is an IDE created by JetBrain developers, who are also responsible for the development of one of the most famous Java IDEs (IntelliJ IDEA). PyCharm is perfect for those who already have experience with other JetBrain IDEs.

Besides Python, PyCharm also supports JavaScript, HTML/CSS, Angular JS, Node.js, among others.



Spyder


Spyder is a cross-platform open source IDE for data science. If you have never worked with an IDE before, Spyder could be a very good first approach for you. This tool integrates the essential libraries for Data Science like NumPy, SciPy, Matplotlib and IPython. Moreover, Spyder can be extended with plugins.



Atom


Atom is an open-source IDE developed by Github and is available for many popular programming languages such as Ruby, PHP, Java, etc. A big advantage of Atom is the community, which is constantly developing improvements and plugins to enhance the IDE and workflow.



Thonny


Thonny is an IDE that is very good for learning and teaching. It is a software developed at the University of Tartu and is available for free in the Bitbucket repository for Windows, Linux, and Mac.

Among other things, Thonny supports code completion and syntax error highlighting, but also offers a simple debugger with which you can execute your program step by step. This makes Thonny very interesting for beginners.



Jupyter Notebook


Jupyter Notebook is a web application based on the server-client structure and created from IPython. It allows to create and edit Notebook documents. In addition, Jupyter Notebook provides an interactive data science environment for many programming languages that works not only as an IDE, but also as a presentation or training tool.



Bottom line: IDEs can certainly help you improve your workflow and results. You can write, execute and debug your code more easily. Of course, you can also use a traditional text editor instead of an IDE. However, you'll need to add plugins to them in order to run your code.




Your Code Pirate Team


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The best Python IDEs

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