Hi all, It fills us with astronomical joy to announce the release of poliastro 0.12.0! 🚀 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: conda install poliastro --channel conda-forge pip install poliastro[jupyter] This major release brought lots of new features, several breaking changes that improve the overall consistency of the library, and a stronger bet on Plotly as the default plotting backend, as well as the usual bug fixes. This has been the biggest release in terms of contributors so far and we feel we are reaching a tipping point, which makes us extremely proud and also busier! You can read the full release notes in the documentation: https://docs.poliastro.space/en/v0.12.0/changelog.html#poliastro-0-12-0-2019... If you want to know more, don't miss my talk on the Open Source Cubesat Worshop held at the European Space Operations Centre in 2017: 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://chat.openastronomy.org/#/room/#poliastro:matrix.org Per Python ad astra! -- Juan Luis Cano