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Python library for atmospheric, oceanographic and hydrographic data analysis and visualization.

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Atlantis

Python library for atmospheric, oceanographic and hydrographic data management analysis and visualization.

According to Wikipedia:

Atlantis (in Greek, Ἀτλαντὶς νῆσος, "island of Atlas") is a legendary 
island first mentioned in Plato's dialogues Timaeus and Critias, written 
about 360 BC. According to Plato, Atlantis was a naval power lying "in 
front of the Pillars of Hercules" that conquered many parts of Western 
Europe and Africa 9,000 years before the time of Solon, or approximately 
9600 BC. After a failed attempt to invade Athens, Atlantis sank into the 
ocean "in a single day and night of misfortune".

This softwares is intended to apply the "don't repeat yourself" (DRY) principle to atmosphere, ocean and hydrology scientists, and reduce time spent developing code to analyse and make diagrams speak. It makes use of code from different sources and references are given to them where appropriate.

DISCLAIMER

This software may be used, copied, or redistributed as long as it is not sold and this copyright notice is reproduced on each copy made. This routine is provided as is without any express or implied warranties whatsoever.

LICENSE

This software is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. More information on this license can be obtained at http://creativecommons.org/licenses/by-sa/3.0/deed.en_US

AUTHOR

The library was created by Sebastian Krieger (solutions@nublia.com)

INSTALLATION

TO-DO

.. Write book / manual: "Data management and analysis in oceanography" ... leanpub.com .. Data browser: .... Log of information .. Cruise/expedition planner: ... Tasks ... Standard procedures per tasks ... Map of stations ... List of variables / instruments ... Casts per station ... Identification

CONTRIBUTING

Do you want to contribute by improving code performance or increasing capabilities? Great! Your help is very welcome. Give a look at the source code and share your contributions by

  1. Fork it.
  2. Create a branch (git checkout -b my_atlantis)
  3. Commit your changes (git commit -am "Added capabilities")
  4. Push to the branch (git push origin my_atlantis)
  5. Open a Pull Request
  6. Enjoy a refreshing lemonade and wait

REVISION

. 3 (2017-02-22 13:37 -0300) . 2 (2016-06-28 21:49 -0300) . 1 (2014-06-10) . 0 (2013-05-20 20:32 -0300)

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Python library for atmospheric, oceanographic and hydrographic data analysis and visualization.

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