Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

© Jalil Villalobos Alva 2021

J. Villalobos AlvaBeginning Mathematica and Wolfram for Data Sciencehttps://doi.org/10.1007/978-1-4842-6594-9_3

3. Working with Data and Datasets

Jalil Villalobos Alva¹  

(1)

Mexico City, Mexico

 

In this chapter, we will review the basics on how to apply functions to a list using Map and Apply; how to define user functions, which can be used throughout a notebook; and how to write code in one of the powerful syntax used in the Wolfram Language called pure functions. Naturally, we will pass, to the associations, how to associate keys with values and understand that they are fundamental for the correct construction of datasets in the Wolfram Language. We conclude with a final overview on how associations are abstract constructions ...