#20 Python Tutorial For Beginners || Generators
In this video, I’ll explain what generators are in Python and why they’re so powerful! You’ll learn how to create a generator, how they differ from regular functions, and see a simple example in action.
What Are Generators?
Generators are special functions that return an iterable set of values, one at a time, using the yield keyword instead of return. When you call a generator function, it doesn’t run the code immediately; it just returns a generator object. Each time you iterate over this object, the function runs until it hits the yield statement, which temporarily pauses the function and sends back a value.
Why Use Generators?
Memory Efficiency: Generators don’t store all values in memory. They generate each value on the fly, which is especially useful for large datasets.
Cleaner Code: They allow for cleaner and more readable code, especially when dealing with complex data flows.
Infinite Sequences: You can create generators for infinite sequences without running out of memory.
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