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Version 15 (J. Simmons, 11/01/2015 04:13 pm)

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h1. Resources
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h2. IPython






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IPython is the calculation engine in MTK.






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* "IPython homepage":http://ipython.org/






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* "IPython Wiki page":http://en.wikipedia.org/wiki/IPython






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* Examples of using IPython






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** "Web article about optimizing Python code that introduced us to IPython":https://jakevdp.github.io/blog/2015/02/24/optimizing-python-with-numpy-and-numba/






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** "A short demo on how to use IPython Notebook as a research notebook":http://www.randalolson.com/2012/05/12/a-short-demo-on-how-to-use-ipython-notebook-as-a-research-notebook/ ("actual example research notebook":http://www.randalolson.com/wp-content/uploads/Evolution-of-Swarming-Experiment.pdf) 






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** "Pandas cookbook":https://github.com/jvns/pandas-cookbook - great examples of using Pandas library to process/display data






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** "Pandas Tour":http://nbviewer.ipython.org/gist/wesm/4757075/PandasTour.ipynb - another set of Pandas examples






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h2. Included Packages






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* Pint (units for Python)






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** "Pint Docs":http://pint.readthedocs.org/en/0.6/






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** "General Installation":http://pint.readthedocs.org/en/0.6/getting.html






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** "Installing Modules in Sage":http://ask.sagemath.org/question/8927/how-do-i-install-python-modules-or-use-a-different-version-of-python-with-sage/






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h2. Jupyter Notebooks






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Jupyter is the documentation creation user interface.






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* "Jupyter homepage":http://jupyter.org/






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* "Jupyter extensions":https://github.com/ipython-contrib/IPython-notebook-extensions 






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h2. Python Tips and Tricks






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* "Cheat Sheet for Exploratory Data Analysis in Python":http://www.analyticsvidhya.com/blog/2015/06/infographic-cheat-sheet-data-exploration-python/ - great list of functions/methods and example code for dealing with data (think tables, plotting, etc)






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h2. Packages to Research






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* "Tikz":http://www.texample.net/tikz/ - Programatic graphics






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* "AstroPy":http://www.astropy.org/ - Python library for astronomical and astrodynamics calculations 






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* "Seven Python Tools All Data Scientists Should Know How to Use":http://www.galvanize.com/blog/2015/07/14/seven-python-tools-all-data-scientists-should-know-how-to-use/#.VazwF_lVhBf






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* "bqplot":https://github.com/bloomberg/bqplot - plotting system for the Jupyter notebook