Python for Science and Engineering, Part 1

Dr. Edward Schofield (Python Charmers) bio
110min ◊◊ Intermediate
Sunday 10:20am, Corinthian
categories: advocacy, algorithms, case study, engineering, science, statistics, visualisation

This is Part 1 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?!"
 
The topics discussed are:
 
- 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.


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