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Python implementation of Jean Meeus astronomical routines

Project description

Library of astronomical algorithms in Python.

PyMeeus is a Python implementation of the astronomical algorithms described in the classical book “Astronomical Algorithms, 2nd Edition (1998)” from Jean Meeus.

There are great astronomical libraries out there. For instance, if you’re looking for high precision and speed you should take a look at libnova. However, the advantages of PyMeeus are its simplicity, ease of use, ease of reading, ease of installation (it has the minimum amount of dependencies), abundant documentation, and it is written in Python :-).

Meta

Author: Dagoberto Salazar

Distributed under the GNU Lesser General Public License v3 (LGPLv3). See LICENSE.txt and COPYING.LESSER for more information.

https://github.com/architest/

Contributing

The preferred method to contribute is through forking and pull requests:

  1. Fork it (https://github.com/architest/pymeeus/fork)

  2. Create your feature branch (git checkout -b feature/fooBar)

  3. Commit your changes (git commit -am 'Add some fooBar')

  4. Push to the branch (git push origin feature/fooBar)

  5. Create a new Pull Request

Please bear in mind that PyMeeus follows the PEP8 style guide for Python code (PEP8). We suggest you install and use a linter like Flake8 before contributing.

Additionally, PyMeeus makes heavy use of automatic tests. As a general rule, every function or method added must have a corresponding test in the proper place in tests directory.

Finally, documentation is also a big thing here. Add proper and abundant documentation to your new code. This also includes in-line comments!!!.

What’s new

  • 0.0.8

    • Epoch class finished

  • 0.0.7

    • Epoch class added

  • 0.0.6

    • CurveFitting class added

  • 0.0.5

    • Interpolation class added

  • 0.0.4

    • Angle class finished

  • 0.0.3

    • Removed unnecessary dependencies

  • 0.0.2

    • Documentation improvements

  • 0.0.1

    • Initial commit

Project details


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PyMeeus-0.0.8.tar.gz (59.1 kB view hashes)

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