Practical Python for Astronomers is a series of hands-on workshops to explore the Python language and the powerful analysis tools it provides. The emphasis is on using Python to solve real-world problems that astronomers are likely to encounter in research.
The workshop schedule is as follows. Except for the first introductory session all workshops are hands-on and participants should bring a laptop.
|Date||Topic||Location and time||Presenter|
|TBD||Introduction to Python for Astronomers||TBD||TBD|
|TBD||Installation and Understanding Packages||TDB||TBD|
|TBD||Core packages - NumPy, iPython, SciPy||TBD||TBD|
|TBD||Plotting and Images||TBD||TBD|
|TBD||Reading and Writing Files||TBD||TBD|
|TBD||Fitting and Modeling 1-d and 2-d data||TBD||TBD|
|TBD||VO and Online astronomy||TBD||TBD|
The content presented here is suitable for self-study by those wishing to learn Python for astronomy or other scientific research applications.
A greater goal is for those knowledgable in Python to teach the workshop series at their local institutions, adapting the content as desired. To that end we have developed the content in Sphinx RestructuredText and hosted the source on github at https://github.com/python4astronomers/. Anyone interested can clone the repository or download a tarball and make modifications needed to present the material locally.
We would also welcome comments, fixes, or suggestions for improvement. This can be done as a Github issue or pull request, or by sending email to email@example.com.
The workshop material here was presented in the Spring of 2011 at the Harvard / Smithsonian Center for Astrophysics. A range of about 25 to 50 people participated in the different workshops, which were 1.5 hours in duration. Based on our experience a 2 hour slot would have been more reasonable to allow time for the exercises and discussion.
The workshop presentations are formatted as Sphinx web documents instead of the more traditional slide presentation. This was a natural choice for the authors who all use Sphinx for Python documenation. Further inspiration was drawn from Dumping PowerPoint in Favor of Web Sites. This site highlights by discussion and examples the advantages in using a web-based study guide. In particular we found the non-linear format (e.g. jumping to different sections or web sites) and ability to show longer examples were quite valuable.
Having full prose text results in a document which is far more useful as a standalone study guide than presentation slides. Ironically it also reduces the temptation to read from the screen.
The Practical Python for Astronomers workshop content is made available under the terms of the Creative Commons Attribution 3.0 License (legal code). You may distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the authors and the Smithsonian Astrophysical Observatory for the original creation.
|Authors:||Tom Aldcroft, Tom Robitaille, Brian Refsdal, Gus Muench|
|Copyright:||2011 Smithsonian Astrophysical Observatory|