Julia for Data Analysis

4 Working with collections in Julia

This chapter covers

• Working with arrays
• Using dictionaries to handle key-value mappings
• Handling immutable collection types: tuples and named tuples

In chapters 2 and 3, you learned basic elements of the Julia language. We have mostly used scalar types (like numbers) in all the examples. However, in data science, you will typically work with data collections, groupings of a variable number of data items. One collection type already introduced in chapter 2 is a vector.

In this chapter, you will learn how to use several fundamental collections that are most used in practical scenarios: arrays, dictionaries, tuples, and named tuples.

4.1 Working with arrays

In this section, you will learn the basics of working ...