This is the information page for the UC Berkeley Py4Science series, a series of informal lectures centered around the use of the Python programming language and open source tools for scientific research.
NOTE: Change of room: for this time only, we'll meet in Evans 597.
Open space for questions at 2:30, presentation 3-4pm.
Topic: image processing in Python using the scikits-image toolkit.
We hold our meetings every two weeks on Wednesdays at 560 Evans Hall, as follows:
Berkeley time: we start the actual lectures promptly at 3pm, breaking with the Berkeley tradition of starting everything 10min past the hour.
Mailing list: You can sign up for announcements from our (low traffic) mailing list.
Calendar: this Google calendar has the listings for each meetings. Canceled meetings will be removed from the calendar.
Here's a short list of useful links to educational materials about using Python as a research tool. Please note that we haven't extensively tested some of these courses, so any feedback you can provide on their quality (good or bad) will be very useful to others.
If you are completely new to Python, you may find this introductory video series useful. Note: at the bottom of the page is a link to a book that accompanies the video series.
Feb 8 2012 - Matplotlib - basics and beyond!
Dec 14 2011 - arrays in more than two dimensions and basic image processing tasks.
Nov 30 - 2d arrays.
Nov 9 - (Day 3) - ipython's %timeit, rec arrays, matplotlib's mlab.csv2rec (24 attendees)
Oct 26 - (Day 2) - Introduction to matplotlib, ipython (41 attendees!)
Oct 19 - (Day 1.5 - offweek) - Interactive IPython (6 attendees)
a = 'hey guys' a? a?? a.<tab> np.matix? import some_module reload(some_module) run some_module %whos %debug %pdb
Oct 12 - (Day 1) - Basic numpy, lists vs arrays (11 attendees)
Oct 5 - (Day 0) - installation help (5 attendees)