If you’re learning Python for Data Science, Machine Learning, Artificial Intelligence, or Backend Development, one of the first libraries you’ll encounter is NumPy.
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What is NumPy?
NumPy (Numerical Python) is an open-source Python library designed for high-performance numerical computing.
It provides a powerful data structure called the NumPy Array, which is much faster and more memory-efficient than Python’s built-in list when working with numerical data.
Python List → General-purpose data storage NumPy Array → High-performance numerical computing
Why Was NumPy Created? instead of Python lists (big Question)
Python lists are incredibly flexible.
They can store different types of data in the same collection.
data = [10, "Hello", True, 15.5]
While this flexibility is useful, it comes with a cost.
