Introduction to NumPy and Pandas - A Simple Tutorial - CloudxLab Blog

Python is increasingly being used as a scientific language. Matrix and vector manipulations are extremely important for scientific computations. Both NumPy and Pandas have emerged to be essential libraries for any scientific computation in python due to their intuitive syntax and high-performance matrix computation capabilities. In this post, we will provide an overview of the common functionalities of NumPy and Pandas. This similarity and added flexibility have resulted in wide acceptance of python in the scientific community lately. This post is an excerpt from a live hands-on training conducted by CloudxLab on 25th Nov 2017.