Base Functions or Libraries: What Should Data Scientists Prefer?

A solid selection of libraries is an essential element of a developer's toolkit for researching and developing complicated applications without having to write a lot of code. In general, library functions are thoroughly tested and optimised before they are released, and space and run time remain prioritised. Moreover, a library is a collection of code designed to make common operations go faster. Whereas in base functions, we know the entire skeleton, of course. The question arises - which is better, a base function or a library?  Python is a popular data analysis language because of its extensive libraries for data processing, visualisation, machine learning, and a variety of other tasks. In machine learning, data preparation is crucial. So, let's explore the base function and library by reading some data. CSV vs Pandas: There are several methods and classes in the CSVmodule that allow you to read and write csv files with ease. Similarly, the "PANDAS" library provides qu