Скачать или смотреть python yield explained

Download this code from https://codegive.com
In Python, the yield keyword is used in the context of generators. Generators are a powerful and memory-efficient way to create iterators. Unlike regular functions that return a value and forget their state, generators maintain their state between successive calls. This is where yield comes into play. In this tutorial, we'll explore what yield does, how it works, and provide code examples to illustrate its usage.
The yield statement is used in a function to turn it into a generator. When a generator function is called, it returns a generator iterator but does not start the execution immediately. Instead, it waits for each call to its __next__() method, at which point it runs until it encounters a yield statement. The function then pauses and the yielded value is returned to the caller. The generator's state is preserved, and it can be resumed from where it left off.
The basic syntax of yield is as follows:
Let's start with a basic example of a generator that produces a sequence of numbers:
In this example, the number_generator function generates numbers from 0 to n-1 using the yield statement.
Now, let's implement a generator for the Fibonacci sequence:
Here, the fibonacci_generator function generates the Fibonacci sequence up to the specified length using the yield statement within a while loop.
Generators can be infinite, producing an endless stream of values. The following example creates an infinite sequence of even numbers:
In this case, the generator keeps yielding even numbers indefinitely until manually stopped.
You can also pass values to a generator using send():
Here, the generator yields squares of numbers, but you can also send a value back into the