Practical Time Series Analysis

Generators

Generators give the functionality of iterators but without having to write an entire class. In many cases, the logic of creating the elements of a sequence are implemented in the next function of an iterator. For example, the code to read a text file line by line and return the occurrence of a specific word in each line needs to be written in the next function of an iterator. Other functions such as __init__ and __iter__ are implemented in the class merely to suffice the requirements of developing an iterator.

Generators are special functions that simplify development. The yield keyword in a function signals the Python interpreter that the function is a generator. Using generator functions, we implement only the logic of creating ...