Array programming with NumPy

In this episode, we explore array programming with NumPy, the fundamental library that powers scientific computing, data science, and machine learning in Python.

NumPy introduced a new way of thinking about computation operating on entire arrays instead of writing slow, repetitive loops. This shift enabled faster code, clearer logic, and scalable numerical analysis across disciplines like physics, biology, finance, and artificial intelligence.

🔍 In this episode, we discuss:

What array programming means and why it matters

How NumPy arrays differ from Python lists

Vectorization and broadcasting explained intuitively

Why NumPy code is faster and more expressive

Real-world applications in science, engineering, and AI

How NumPy shaped the modern Python ecosystem

This episode is designed for curious learners, students, and professionals who want to understand not just how NumPy works, but why it became essential.

🎧 Library of Light breaks down complex ideas in science and technology into thoughtful, accessible conversations.

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