Picking A Python IDE

Kevin Jacobs reviews a few Python IDEs from the perspective of a data scientist:

Ladies and gentlemens, this is one of the most perfect IDEs for editing your Python code! At least in my opinion. Jupyter notebook is a web based code editor and can quickly generate visualizations. You can mix up code and text containing no, simple or complex mathematics. One thing I am missing here, is the support for code completion, but there are tons of plugins available so this should be no problem. It is also easy to turn your notebook into a presentation. For collaboration with non-technical teams, this is a great tool.

Conclusion: perfect Python IDE for data science! Less support for code inspection.

Click through for reviews of three IDEs.

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