We are excited to introduce Python sessions on DECTRIS CLOUD — bringing you a step closer to seamless, on-demand scientific exploration.
With just a few clicks, you can now launch interactive Python environments directly in the cloud, giving you all the engines you need to drive your scientific workflows.
Choose the environment that fits your needs:
- Public Python environments — preloaded with essential libraries so you can get started right away
- Custom environments — define your own, with the specific libraries and tools required for your research
This makes it easier than ever to advance your work, gain insights, and push the boundaries of scientific discovery — all through the familiar and user-friendly JupyterHub interface.
Get started today and accelerate your path to new insights and breakthroughs.
![Transition from raw detector images to electron density maps and refined atomic models in Coot. Depicted data is from the 7QNP dataset [14]. The 3D molecule rendering has been produced with the Render Molecule job template, which utilizes the MolecularNodes Blender plugin developed by Brady Johnston.](https://cdn.prod.website-files.com/670f957a3be26367c038245d/69c698806079c5f5265daa1a_thumbnail_v3%20(1).png)
