Today we will introduce one of the first inner training chapters on the fundamentals of DataScience treatment tools. We are talking about Pandas, Numpy, and Matplotlib. Pandas is a third-party library for numerical computing based on NumPy. It excels in handling labeled one-dimensional (1D) data with Series objects and two-dimensional (2D) data with DataFrame objects.
NumPy is a third-party library for numerical computing, optimized for working with single- and multi-dimensional arrays. Its primary type is the array type called ndarray. This library contains many routines for statistical analysis.