NumPy

The fundamental package for numerical computing in Python.

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Why NumPy?

Multidimensional Arrays

Efficient ndarrays for numerical computations with fixed-size elements.

Vectorized Operations

Fast element-wise calculations without Python loops, enabled by C-based backend.

Linear Algebra

Built-in functions for matrix multiplication, SVD, eigenvalues, and more.

Random Sampling

Generate distributions (normal, uniform, etc.) for simulations and modeling.

Foundation for ML

Core dependency for Pandas, SciPy, and deep learning frameworks.

Where NumPy Shines

Scientific Computing
Image Processing
Simulations & Modeling
Signal Processing
Neural Network Math
Use case 1

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