Lesser-Known Python Libraries for Data Science

Parul Pandey
Analytics Vidhya
Published in
7 min readNov 8, 2018

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Update 2021: This article was published a long time ago. Few of the libraries mentioned here might not be lesser-known anymore.

Here is another article which could be a great addition to this article:

Python is an amazing language. It’s one of the fastest-growing programming languages in the world. It has time and again proved its usefulness both in developer job roles and data science positions across industries. The entire ecosystem of Python and its libraries makes it an apt choice for users (beginners and advanced) all over the world. One of the reasons for its success and popularity is the presence of its set of robust libraries that make it so dynamic and fast.

In this article, we will look at some of the Python libraries for data science tasks other than the commonly used ones like pandas, scikit-learn, matplotlib, etc. Although the libraries like pandas and scikit-learn are the default names that come to mind for machine learning tasks, it’s always good to learn about other python offerings in this field.

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Parul Pandey
Analytics Vidhya

Principal Data Scientist @H2O.ai | Author of Machine Learning for High-Risk Applications