🎁 New User? Get 20% off your first purchase with code NEWUSER20 · ⚡ Instant download · 🔒 Secure checkout Register Now →
Menu

Categories

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 — 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

PIP
The standard package installer for Python, used to install and manage third-party libraries from PyPI.
Python Property
A built-in decorator that lets you define methods that behave like attributes, enabling controlled access to instance data.
Virtual Environment
An isolated Python environment that maintains its own set of packages, independent of the system Python installation.
Python Coroutine
A function defined with async def that can be paused and resumed, enabling concurrent execution without threads.
Pytest
A testing framework for Python that simplifies writing and running tests with powerful features like fixtures and parametrize.
SQLAlchemy
The most popular Python SQL toolkit and ORM that provides a full suite of database abstraction patterns.
 View All Python Terms →