# NumPy Tutorial

This standalone English tutorial is fully notebook-based and independent of the Python syntax tutorial.
It covers practical NumPy topics from foundations to vectorized computing, indexing semantics, broadcasting, and linear algebra workflows.

```{toctree}
:maxdepth: 1
:titlesonly:

01_getting_started
02_array_creation_and_attributes
03_indexing_slicing_and_reshaping
04_vectorization_and_broadcasting
05_statistics_linear_algebra_and_io
```

## Notebook Downloads

- {download}`01 Getting Started <01_getting_started.ipynb>`
- {download}`02 Array Creation and Attributes <02_array_creation_and_attributes.ipynb>`
- {download}`03 Indexing, Slicing, and Reshaping <03_indexing_slicing_and_reshaping.ipynb>`
- {download}`04 Vectorization and Broadcasting <04_vectorization_and_broadcasting.ipynb>`
- {download}`05 Statistics, Linear Algebra, and I/O <05_statistics_linear_algebra_and_io.ipynb>`