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Its use in data science and machine learning is in this vein, but that's just one incarnation of the general idea.

Also worth noting are the sorts of tasks Python is not well-suited for.

Constructions like this allow Python developers to balance terseness and readability.

Python's other language features are meant to complement common use cases.

Many major libraries and API-powered services have Python bindings or wrappers, allowing Python to interface freely with those services or make direct use of those libraries.The number of features in the language itself is modest, requiring relatively little investment of time or effort to produce one's first programs.Python syntax is designed to be readable and straightforward.You could build a standalone Python app for Windows, Mac, and Linux, but not elegantly or simply.Finally, Python is not the best choice when speed is an absolute priority in every aspect of the application.

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