Howk's notes for learning Python
This repository contains a few iPython notebooks to keep notes on some of the issues I've come across / solved in learning Python. Mostly meant for personal use, but feel free to go through / comment on them if you find them helpful.
This work uses astropy, matplotlib, numpy.
Most notebooks should work with either Python 2 or 3, though Python 3 is assumed.
Current notebooks /guides (if just starting, go in this order):
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LearningPython.basics.ipynb: How to treat arrays, make basic plots, and even just get the basic importing functionality right.
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LearningPython.IO.ipynb: Read and write basic ASCII, LaTeX, and FITS files.
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LearningPython.SpectralPlots.ipynb: Slightly more advanced plots, focused on making multiple plots in a stack. Useful for plotting spectral results (includes some GBT data as an example).
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LearningPython.units-M31halo.ipynb Calculating the mass of the CGM about M31 to demonstrate the use of units and constants in
astropy. -
LearningPython.FUSECatalogQuery.ipynb Using Python to query the entirety of the FUSE exposure catalog.
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LearningPython.astroquery.ipynb Using the
astroquerymodule to query Simbad.
Advanced notes:
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Advanced.Axis Breaks.ipynb Examples of plotting with "broken" axes, gaps in the x or y plot ranges.
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Advanced.CalculateImpactParameters.ipynb An example using
astropy.coordinatesandastropy.cosmologytools to calculate impact parameters for galaxies with respect to a QSO. -
Advanced.MCMCfit.ipynb An example of fitting a power law function to a dataset using the MCMC code
emcee.
Special:
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ccdproc-Example.ipynb Examples on using the python implementaiton of CCDproc from the dev team.
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COS-Halos.DatabaseAccess.ipynb Notes on accessing information in the COS-Halos database of JXP's
pyigm. -
Hafen-voronoi_plotting.ipynb Zach Hafen's notes on plotting using Voronoi binning.
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Max's Brown Seeds.ipynb Example plotting and simple statistics using a sample of the number of seeds in brown "mustache plant" seed pods (from Max Howk).