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9 Lazy Evaluation Features in Python That Optimize Your Code Quietly
Python defers computation until necessary to make everything more efficient, sometimes without you even noticing
To pick one feature that mostly reflects the elegance of Python, I would choose lazy evaluation.
The lazy evaluation mechanism, which means delaying the computation of a value until it’s necessary, allows Python to avoid unnecessary work, save memory, respond faster, and even do something that sounds impossible, such as generating an infinite list.
More importantly, there are very few complicated syntax or tricks to implement lazy evaluation in Python. Everything is simple, elegant, but powerful.
This article explains 9 built-in features in Python that leverage the lazy evaluation technique to optimize our code quietly and significantly. After reading and understanding all the practice examples, scaling your Python applications with minimal effort will be possible.
1. Generators: A Powerful Tool for Handling Large Datasets
Generators are the most well-known lazy evaluation feature in Python. They allow us to iterate over sequences without…
