Python for data science
Given the availability of many useful packages for creating linear models and given the fact that it is a programming language quite popular among developers, Python is our language of choice for all the code presented in this book.
Created in 1991 as a general-purpose, interpreted, object-oriented language, Python has slowly and steadily conquered the scientific community and grown into a mature ecosystem of specialized packages for data processing and analysis. It allows you to perform uncountable and fast experiments, easy theory development, and prompt deployments of scientific applications.
As a developer, you will find using Python interesting for various reasons:
- It offers a large, mature system of packages for data ...