├── jwblin_20160202 ├── main.pdf └── README.md ├── jakevdp_20151201 └── PythonScientificStack.pdf ├── jhamman_20151006 ├── jhamman_presentation_20151006.pdf └── README.md ├── cmaalouf_20160105 └── Weather Forecasting and MOS Correction with Python and Scikit-Learn.pdf ├── .gitignore ├── README.md └── LICENSE /jwblin_20160202/main.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jhamman/UW_Python_for_Geosciences/HEAD/jwblin_20160202/main.pdf -------------------------------------------------------------------------------- /jakevdp_20151201/PythonScientificStack.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jhamman/UW_Python_for_Geosciences/HEAD/jakevdp_20151201/PythonScientificStack.pdf -------------------------------------------------------------------------------- /jhamman_20151006/jhamman_presentation_20151006.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jhamman/UW_Python_for_Geosciences/HEAD/jhamman_20151006/jhamman_presentation_20151006.pdf -------------------------------------------------------------------------------- /cmaalouf_20160105/Weather Forecasting and MOS Correction with Python and Scikit-Learn.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jhamman/UW_Python_for_Geosciences/HEAD/cmaalouf_20160105/Weather Forecasting and MOS Correction with Python and Scikit-Learn.pdf -------------------------------------------------------------------------------- /jwblin_20160202/README.md: -------------------------------------------------------------------------------- 1 | Dynamic Data Structures and First-Class Citizens: Python Features that Can Make Modeling More Flexible and Powerful 2 | ======= 3 | 4 | Speaker: Johnny Lin 5 | 6 | Date: February 2, 2016 7 | 8 | Summary: 9 | 10 | This talk is based around a Python wrapping of an intermediate-level atmospheric model that I developed for a climate research project. 11 | -------------------------------------------------------------------------------- /jhamman_20151006/README.md: -------------------------------------------------------------------------------- 1 | Data analysis tools for modern Python: pandas, xray, and beyond 2 | ======= 3 | 4 | Speaker: Joe Hamman 5 | 6 | Date: October 6, 2015 7 | 8 | Summary: 9 | 10 | In this talk, I introduce the [pandas](http://pandas.pydata.org/) and [xray](http://xray.readthedocs.org/en/stable/) packages and highlight their geoscience use cases. Both pandas and xray are data analysis packages that extend the numpy data model to include labeled axes. Pandas excels at 1D data analysis (e.g. timeseries) while xray extends the pandas approach to include N-dimensional labeled data objects. I introduce the pandas and xray approach to label based selection, timeseries resampling, and groupby operations. I also introduce the plotting functionality in both packages. At the end of this talk, I discuss a few horizons I see as the future of scientific python as they pertain to the geoscience community. 11 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | 5 | # C extensions 6 | *.so 7 | 8 | # Distribution / packaging 9 | .Python 10 | env/ 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | *.egg-info/ 23 | .installed.cfg 24 | *.egg 25 | 26 | # PyInstaller 27 | # Usually these files are written by a python script from a template 28 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 29 | *.manifest 30 | *.spec 31 | 32 | # Installer logs 33 | pip-log.txt 34 | pip-delete-this-directory.txt 35 | 36 | # Unit test / coverage reports 37 | htmlcov/ 38 | .tox/ 39 | .coverage 40 | .coverage.* 41 | .cache 42 | nosetests.xml 43 | coverage.xml 44 | *,cover 45 | 46 | # Translations 47 | *.mo 48 | *.pot 49 | 50 | # Django stuff: 51 | *.log 52 | 53 | # Sphinx documentation 54 | docs/_build/ 55 | 56 | # PyBuilder 57 | target/ 58 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | Python in the Geosciences 2 | ==== 3 | **Ongoing (Fall 2015-present) Seminar - University of Washington** 4 | 5 | ### Time: 6 | 7 | 1st Tuesday of the month, 4:00PM with Happy Hour to follow. 8 | 9 | ### Location: 10 | 11 | 6th floor of the Physics Tower, Seminar Room C607 or C610 12 | 13 | ### Background: 14 | 15 | In recent years, the Python programming language has emerged as a popular choice for geoscientists. Python is an easy to learn, easy to read, fast to write, open source, multi-platform platform language. Accompanying the Python language is a large community of free, open source projects that have facilitated rapid scientific development and data analysis. This informal seminar will focus on new and existing Python tools and applications within the geoscience community and aims to connect Python users across the UW campus. 16 | 17 | ### Schedule 18 | 19 | | Date | Speaker | Title | 20 | | ---- | ---- | ---- | 21 | | Oct. 6, 2015 | [Joe Hamman](http://joehamman.com/) | Data analysis tools for modern Python: pandas, xray, and beyond | 22 | | Nov. 3, 2015 | [Emilio Mayorga](http://staff.washington.edu/emiliom/) | Using conda and IPython notebooks to demo external data access libraries | 23 | | Dec. 1, 2015 | [Jake VanderPlas](http://www.astro.washington.edu/users/vanderplas/) | An Overview of the Python Scientific Stack | 24 | | Jan. 5, 2016 | [Charles Maalouf]() | Weather Forecasting and Correction of MOS Using Scikit-Learn | 25 | | Feb. 2, 2016 | [Johnny Lin](http://www.johnny-lin.com/index.shtml) | Dynamic data structures and first-class citizens: Python \nfeatures that can make modeling more flexible and powerful | 26 | | Mar. 1, 2016 | No meeting. | 27 | | Apr. 5, 2016 | [David Shean](http://psc.apl.uw.edu/people/students/david-shean/) and [Anthony Arendt](http://www.apl.washington.edu/people/profile.php?last_name=Arendt&first_name=Anthony) | Ice Python | 28 | 29 | 30 | ### Other Workshops / Seminars / Resources: 31 | - Atmos-Python Workshop:atmos-python@uw.edu - (Andre or Jeremy) 32 | - UW eScience Python Seminar: Fall 2015: http://uwescience.github.io/python-seminar-2015/seminar/ 33 | - AGU Fall Meeting 2015 Session: Python Solutions for the Earth Sciences: IN041 34 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | CC0 1.0 Universal 2 | 3 | Statement of Purpose 4 | 5 | The laws of most jurisdictions throughout the world automatically confer 6 | exclusive Copyright and Related Rights (defined below) upon the creator and 7 | subsequent owner(s) (each and all, an "owner") of an original work of 8 | authorship and/or a database (each, a "Work"). 9 | 10 | Certain owners wish to permanently relinquish those rights to a Work for the 11 | purpose of contributing to a commons of creative, cultural and scientific 12 | works ("Commons") that the public can reliably and without fear of later 13 | claims of infringement build upon, modify, incorporate in other works, reuse 14 | and redistribute as freely as possible in any form whatsoever and for any 15 | purposes, including without limitation commercial purposes. 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