<<<<<<< HEAD The workshop schedule is as follows. All subsequent workshops are hands-on and participants should bring a laptop.
Date | Topic | Time | Presenter |
---|---|---|---|
30th May | Installation and Understanding Packages | 9:30-10:00 | Eli |
30th May | Introduction to Python for ESAC | 10:00-11:00 | Eli |
30th May | Introduction to Pure Python | 11:30-13:00 | Neil |
30th May | Reading and Writing Files | 14:00-15:30 | Neil |
30th May | IPython, Numpy and Scipy | 15:45-17:00 | Pieter |
31st May | IPython, Numpy and Scipy continued | 9:30-10:00 | Pieter |
31st May | Introduction to Matplotlib | 11:30-13:00 | Pieter |
31st May | Publication quality plots | 14:00-15:30 | Neil |
31st May | Plotting images and APLpy | 15:45-17:00 | Eli |
1st June | APLpy continued | 9:30-10:00 | Eli |
1st June | Fitting and modelling, Q&A | 11:30-13:00 | Eli |
1st June | urllib2, ATPy, examples | 14:00-15:30 | Neil |
1st June | multiprocessing, f2py, more examples | 15:45-17:00 | Pieter |
Date | Topic | Time Presenter | |
---|---|---|---|
30/05 | Installation and Understanding Packages | 09:30 - 10:00 | All |
30/05 | Introduction to Python | 10:00 - 11:00 | Eli |
30/05 | Pure Python I + II | 11:30 - 13:00 | Neil |
30/05 | Reading, Writing | 14:00 - 15:30 | Pieter |
30/05 | NumPy, iPython, SciPy I | 15:45 - 17:30 | Pieter |
31/05 | NumPy, iPython, SciPy II | 09:30 - 11:00 | Pieter |
31/05 | Introduction to Matplotlib | 11:30 - 13:00 | Pieter |
31/05 | Publication quality plots I + II | 14:30 - 15:30 | Neil |
31/05 | APLpy I | 15:45 - 17:30 | Eli |
01/06 | APLpy II | 09:30 - 11:00 | Eli |
01/06 | Fitting data + Q&A I | 11:30 - 13:00 | Eli |
01/06 | Examples with urllib2 and ATpy + Q&A II | 14:00 - 15:30 | Neil |
01/06 | Examples with MPI, f2py, statistics | 15:45 - 17:00 | Pieter |
>>>>>>> Made changes wrapup.rst for the schedule and links
All the workshop materials will be available through the web site:
In order to follow along the tutorial sessions you need to have Python 2.6 or 2.7 installed and satisfy these Python requirements. Please look ahead to the workshop on Installing a scientific Python distribution. You are encouraged to attempt the installation on your own, but at the very least you should download the necessary package files for your configuration in advance of the session.
What experience do people have with Python:
Other topics of interest?
A Comparison to SM and IDL is available.
Questions?