![]() The IPython/Jupyter integration is nice as well. If you regularly do data science work using Python, you might fall in love with this unique feature. Personally, I usually don’t have a need for this but it does look neat. Spyder features most of the “common IDE features” you might expect, such as a code editor with robust syntax highlighting, Python code completion, and even an integrated documentation browser.Ī special feature that I haven’t seen in other Python editing environments is Spyder’s “variable explorer” that allows you to display data using a table-based layout right inside your IDE. For example, Spyder integrates well with common Python data science libraries like SciPy, NumPy, and Matplotlib. What’s interesting about Spyder is that its target audience is data scientists using Python. Spyder comes included with the Anaconda package manager distribution, so depending on your setup you may already have it installed on your machine. Spyder is an open-source Python IDE that’s optimized for data science workflows.
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