Hi all, It fills us with astronomical joy to announce the release of poliastro 0.10.0! 🚀 poliastro is a pure Python library that allows you to simulate and analyze interplanetary orbits in a Jupyter notebook in an interactive and easy way, used in academia and the industry by people from all around the world. You can install it using pip or conda: pip install poliastro conda install poliastro --channel conda-forge This release was specially important in terms of development, and there are major changes in the structure of the code, several performance improvements, and many infrastructure changes. In particular, to pick only one highlight, we now have a website displaying benchmarks created using Airspeed Velocity: http://poliastro.github.io/poliastro-benchmarks In terms of new features, the most important one is the addition of continuous thrust (or low thrust) guidance laws for some orbital maneuvers, which means that now you can simulate spiral trajectories and much more. You can read the full release notes in the documentation: http://docs.poliastro.space/en/v0.10.0/changelog.html#poliastro-0-10-0-2018-... By popular demand, the next release will be focused on improving reference frame handling in Orbit objects, which hopefully will fix one of the long standing pain points with poliastro. If you want to know more, don't miss my talk on the Open Source Cubesat Worshop held at the European Space Operations Centre: https://youtu.be/KnoYzqAw_vM?t=1h36m14s Please join our chat on Matrix/Riot and feel free to ask any questions you might have: https://riot.im/app/#/room/#poliastro:matrix.org Per Python ad astra! -- Juan Luis Cano