We're also happy to offer embedded Jupyter notebooks as part of the One Codex platform – facilitating both large-scale analyses and a nice environment for rapid development against our API. See our blog post announcing notebooks, take a look at an example notebook that uses the One Codex Python client library, or view our more detailed notebook documentation.
![Screen Shot 2016-11-10 at 10.34.39 AM-min.png 2612](https://files.readme.io/ece5aa8-Screen_Shot_2016-11-10_at_10.34.39_AM-min.png)