Pandas and Numpy are no doubt the two most used libraries of Python. The following comparison identifies the core differences between the Pandas and the Numpy libraries. A. Pandas - 1. It is preferred for analysing and visualizing tabular data. 2. Data from various file formats can be easily imported using Pandas. It supports XLSX, ZIP, text, HTML, XML, JSON, etc. 3. It shows faster performance when dealt with a large amount of data. 4. It takes relatively more space in the memory. B. Numpy - 1. It is preferred for performing mathematical operations and numerical calculations. 2. The data stored in multi-dimensional arrays are supported in this library. 3. It performs better when dealt with smaller amounts of data. 4. It consumes less memory space.