# Getting started

## Installation instructions

To install pandas, please reference the [installation page]({{ base_url}}docs/getting_started/install.html)
from the pandas documentation.

## Tutorials

You can learn more about pandas in the [tutorials]({{ base_url }}docs/getting_started/intro_tutorials/),
and more about JupyterLab in the
[JupyterLab documentation](https://jupyterlab.readthedocs.io/en/stable/user/interface.html).

## Books

The book we recommend to learn pandas is [Python for Data Analysis](https://amzn.to/3DyLaJc),
by [Wes McKinney](https://wesmckinney.com/), creator of pandas.

<a href="https://amzn.to/3DyLaJc">
    <img alt="Python for Data Analysis" src="{{ base_url }}static/img/books/pydata_book.gif"/>
</a>

## Videos

<iframe
  src="https://www.youtube.com/embed/_T8LGqJtuGc"
  style="width: 100%; max-width: 560px; height: 315px;"
  frameborder="0"
  allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
  allowfullscreen
></iframe>

## Cheat sheet

[pandas cheat sheet](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)

## Try pandas in your browser (experimental)

You can try pandas in your browser with the following interactive shell
without needing to install anything on your system.

<p>
    <a class="btn btn-primary" href="{{ base_url }}try.html">Try it in your browser</a>
</p>
