What are Python generators?

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Python generators are a special type of iterable that allow you to generate values on the fly using lazy evaluation. Instead of returning all values at once (like lists), generators yield one value at a time, only when requested.

Creating Generators:

  1. Using yield in a function:

  2. Using generator expressions (similar to list comprehensions):

Key Features:

  • Memory Efficient: They don’t store the entire sequence in memory.

  • Lazy Evaluation: Values are generated one at a time as needed.

  • Stateful: They remember the execution state between calls.

Why Use Generators?

  • Useful for handling large data sets or infinite sequences.

  • Improve performance and reduce memory usage.

  • Common in reading large files, streaming data, or pipelines.

Generator vs Iterator:

  • A generator is an iterator.

  • When a generator function is called, it returns a generator object which implements the iterator protocol (__iter__() and __next__()).

Read More

What is the use of *args and **kwargs?

How does Python handle memory management?

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