NumPy
Introduction to NumPy
What is NumPy? NumPy (Numerical Python) is a high-performance library for numerical computing in Python. It provides multi-dimensional arrays and mathematical functions to process large datasets efficiently.
Key Features of NumPy
- Fast and memory-efficient array operations
- Supports multi-dimensional arrays (
ndarray) - Provides built-in mathematical and statistical functions
- Enables vectorized operations (avoiding slow Python loops)
- Used in machine learning, data science, and scientific computing
Why Use NumPy Instead of Lists?
| Feature | NumPy Array | Python List |
|---|---|---|
| Speed | Faster (C-optimized) | Slower |
| Memory Usage | Less | More |
| Built-in Functions | Yes | No |
| Supports Vectorized Operations | Yes | No |
NumPy Applications
- Data Science
- Machine Learning
- Image Processing
- Scientific Computing
- Financial Analysis
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