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 ...
Get Regression Analysis with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
