2016 Python Bootcamp for Astronomy and Physics
Sept 26-27, 2016 in PAA 216
Visit the bootcamp website here.
Welcome to Python Bootcamp - a highly-condensed, fast-paced, incomplete tour of the Python language and some of its essential packages used in physics and astronomy with Python. This course is meant for students who are experienced programmers in a language other than Python. We will give you broad and shallow exposure to the plethora of tools that may be useful to you in Python, starting at the basics of the language and moving up to scientific computation in Python.
In this two-day "course", we'll introduce you to:
- efficient calculations with numpy
- visualization with matplotlib
- writing functions and modules
- optimization with numpy and scipy
- object-oriented programming
- handling "big data" with HDF5
- astronomical calculations with astropy
- version control and collaboration with git and GitHub
Getting set up for Bootcamp
Before arriving at Bootcamp, we will assume that you have Python and the required packages installed. The easiest way to do that (and I very strongly encourage that you do it this way) is to use the Anaconda package manager. Download and install Anaconda (or miniconda if disk space is a concern) for Python 3, and then install the dependencies for this course with the following command in your terminal:
conda install numpy scipy astropy matplotlib h5py jupyter ipython conda install -c astropy astroquery
This will download and install all of the required dependencies for our tutorials. Contact me if you have trouble getting set up before bootcamp begins (but be warned: I will only provide installation support if you're using anaconda)! If you plan to stick around for the git tutorial, you should also install git.
Testing your setup
You can test if you've successfully installed Python and the required depedencies by doing the following.
- Open a new terminal window, and type
ipython. This will open an interactive iPython shell, giving you a prompt that says
- Copy this code to your clipboard:
import numpy import scipy import astropy import matplotlib import h5py import astroquery
- Type into the iPython shell the word
paste, and press enter.
- If no errors are raised, you're ready for bootcamp. You may close the terminal window.
In addition to the notebooks in this repository, we will use Jake Vanderplas' 2014 Python Bootcamp notebooks, which I've forked here.
For additional resources on getting up to speed in Python, I recommend Jake's book A Whirlwind Tour of Python, which is currently available for free. If you're ready to go deeper, there are many freely available books on Python to try.
|Mon 9-10:30||Basic training|
|Mon 10:30-11:30||Data structures|
|Mon 1-2||Functions, modules|
|Mon 2-3:30||Git intro|
|Tues 9-10:30||Numpy intro|
|Tues 10:30-11||Matplotlib intro|
|Tues 11-12:00||Optimization intro|
|Tues 1-1:45||Intro to astropy|
|Tues 1:45-2:30||Intro to OO|
|Tues 2:30-3:00||Intro to HDF5|
|Tues 3-4||GitHub intro|