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Iterator objects in python conform to the iterator protocol, which basically means they provide two methods: __iter__() and __next__(). The __iter__ returns the iterator object and is implicitly called at the start of loops.
To create an object/class as an iterator you have to implement the methods __iter__() and __next__() to your object. As you have learned in the Python Classes/Objects chapter, all classes have a function called __init__() , which allows you to do some initializing when the object is being created.
Create iterators using the iterator protocol in Python; Understand the differences between iterators and iterables; Work with iterators and iterables in your Python code; Use generator functions and the yield statement to create generator iterators; Build your own iterables using different techniques, such as the iterable protocol
26 kwi 2023 · An iterator in Python is an object that is used to iterate over iterable objects like lists, tuples, dicts, and sets. The Python iterators object is initialized using the iter() method. It uses the next() method for iteration.
Iterators are methods that iterate collections like lists, tuples, etc. Using an iterator method, we can loop through an object and return its elements. Technically, a Python iterator object must implement two special methods, __iter__ () and __next__ (), collectively called the iterator protocol.
3 cze 2024 · Building a custom iterator in Python is a powerful way to create more complex and memory-efficient data traversal mechanisms. By implementing the __iter__ and __next__ methods, you can control the iteration logic and manage state between iterations.
24 cze 2024 · 1 How a Python iterator works; 2 Why are iterators and iterables separate objects? 3 Built-in Python iterators; 4 How to use a Python iterator; 5 Creating your own Python iterator
