Python offers a great environment and rich set of libraries to developers while working with data. There are tons of useful libraries out there for novice or experienced developers or analysts for helping out with processing or visualizing datasets. Some of the libraries are really popular and used by millions of developers, for example – Pandas, Numpy, Scikit-learn, NTLK etc. Some of the libraries are not so well known and turned out to be handy in my experience. This article introduces 6 such Python libraries when working with data. Readers might already be familiarized with some of them, but I hope this article still proves to be useful.