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Python Intermediate

What is NumPy?

A fundamental library for numerical computing in Python, providing efficient multi-dimensional arrays and mathematical operations.

NumPy (Numerical Python) provides the ndarray โ€” a fast, memory-efficient array type for numerical operations. Operations on NumPy arrays are vectorized (no explicit loops needed), making them 10-100x faster than Python lists for numerical work.

Key features include broadcasting (operations on arrays of different shapes), linear algebra (np.linalg), random number generation, Fourier transforms, and integration with C/Fortran libraries. NumPy is the foundation for SciPy, Pandas, scikit-learn, and TensorFlow.

Related Terms

Lambda Function
An anonymous, single-expression function defined inline using the lambda keyword.
Pip Requirements File
A text file listing Python package dependencies with version specifications for reproducible project installations.
Dictionary
A built-in data structure that stores key-value pairs with O(1) average lookup time using hash tables.
Class
A blueprint for creating objects that bundles data (attributes) and behavior (methods) together.
Python Typing Module
A standard library module providing type hints for function signatures and variables, enabling static analysis without runtime enforcement.
GIL (Global Interpreter Lock)
A mutex in CPython that allows only one thread to execute Python bytecode at a time, limiting true parallelism.
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