Add an eventPython for Science and Engineering, Part 2
A session at PyCon AU 2011
This is Part 2 of a showcase in solving a variety of interesting scientific and engineering problems using Python, NumPy, and SciPy, and producing beautiful plots with Matplotlib.
The focus is on the "wow" factor: "Wow! You can do all that in just a few lines of Python?!"
Sample topics discussed include:
- speech and image recognition (how to be head-hunted by Google)
- bioinformatics (how to cure cancer)
- statistical modelling (how to predict the stock market)
The intended audience is graduates in science and engineering disciplines; Python users who want to know more about what's possible with tools like NumPy and SciPy; and users of high-level packages like Matlab or R and low-level languages like Fortran who want to get more interesting work done with less effort.
About the speaker
This person is speaking at this event.
Experts in Python training and consulting bio from Twitter
Sign in to add slides, notes or videos to this session