NumPy gives Python dense, typed, multidimensional arrays. Fixed data types and contiguous storage cut memory overhead and move array operations out of slow Python loops.
Install it with pip:
pip install numpy
Start a Python session:
python
Import NumPy under its standard alias:
import numpy as np
Now the np namespace exposes NumPy's array constructors and operations.
NumPy Learn By Topics
Ideas for Next Steps
Data Science Libraries in Python
- Build a neural network in pure NumPy with vanilla gradient descent or SGD. Writing the backward pass by hand exposes backpropagation and update rules that TensorFlow, PyTorch, and Keras usually hide.
A note about Pandas
Pandas builds on NumPy and reuses many of its array conventions. Its data structures feed naturally into Matplotlib plots, SciPy analyses, and scikit-learn models.