Hello all,
I am very pleased to announce poliastro 0.5.0, a MIT licensed, pure
Python library for studying Orbital Mechanics and Astrodynamics problems!
This is a new major release, focused on expanding the initial orbit
determination capabilities and solving some infrastructure challenges.
Among the new features are:
* New algorithm to solve Lambert's problem
* New documentation, hosted on Read the Docs
* Python 3 support only
See the changelog for a more complete list of changes:
http://poliastro.readthedocs.org/en/v0.5.0/changelog.html#new-in-poliastro-0-5-0
You can install it using either pip or conda:
$ pip install poliastro
$ conda install poliastro --channel poliastro
If you want to see an overview of poliastro capabilities, check out the
gallery of Jupyter notebooks where we list some specific applications
and interesting problems analyzed with this library:
http://nbviewer.jupyter.org/github/poliastro/poliastro/blob/v0.5.0/examples/index.ipynb
poliastro is now actively seeking for contributors to expand the
capabilities of the library, improve its documentation, test it on other
settings and operative systems and much more. If you are willing to
help, please join our new mailing list on groups.io:
https://groups.io/g/poliastro-dev
This release comes just in time for the 6th International Conference on
Astrodynamics Tools and Techniques (ICATT), taking place in Darmstadt,
Germany from March 14th to 17th where I will deliver a paper and a talk
to describe poliastro in depth:
https://indico.esa.int/indico/event/111/session/32/contribution/5
poliastro is an open source collection of Python subroutines for solving
problems in Astrodynamics and Orbital Mechanics. It combines cutting
edge technologies like Python JIT compiling (using numba) with young,
well developed astronomy packages (like astropy and jplephem) to provide
a user friendly API for solving Astrodynamics problems. It is therefore
an experiment to mix the best Python open source practices with my love
for Orbital Mechanics.
The project is still a work in progress and the API is subject to
change. Contributions, bug reports, suggestions and advice are more than
welcome!
/Per Python ad Astra!
/Juan Luis Cano RodrÃguez
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