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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.

Books

The book we recommend to learn pandas is Python for Data Analysis, by Wes McKinney, creator of pandas.

Python for Data Analysis

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

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.

Please note it can take a while before the shell is initialised and ready to run commands.

Running it requires a reasonable amount of bandwidth and resources, so it may not work properly on all devices or networks.

<iframe src="./lite/repl/index.html?toolbar=1&kernel=python&execute=0&code=import%20pandas%20as%20pd%0Adf%20%3D%20pd.DataFrame%28%7B%22num_legs%22%3A%20%5B2%2C%204%5D%2C%20%22num_wings%22%3A%20%5B2%2C%200%5D%7D%2C%20index%3D%5B%22falcon%22%2C%20%22dog%22%5D%29%0Adf" style="width: 100%; max-width: 650px; height: 600px; border: 1px solid #130753;" ></iframe>