To install pandas, please reference the [installation page]({{ base_url}}docs/getting_started/install.html) from the pandas documentation.
You can learn more about pandas in the [tutorials]({{ base_url }}docs/getting_started/intro_tutorials/), and more about JupyterLab in the JupyterLab documentation.
The book we recommend to learn pandas is Python for Data Analysis, by Wes McKinney, creator of pandas.

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>