Scientific Analysis in Python. Python based scientific analysis cookbook James Battat Created: October 3, 2006 Last Modified: July 12, 2010 I find Python very user-friendly.
Therefore I often reach for it when tasked to solve small or large scripting problems. I have been rather frustrated, though, with the level of support for scientific analysis packages. With scipy and matplotlib, of course, the tools are all there and success is just around the corner... But if you're like me and you're at a loss when trying to do something in Python because you're used to using other languages (IDL) for scientific analysis then you may find this page useful. NumPy for MATLAB users – Mathesaurus. Help Searching available documentation Using interactively Operators Arithmetic operators Relational operators.
Linear regression with pylab. In order to compliment my linear regression in google docs post (and because I keep forgetting how to do it), here is a quick and dirty guide to linear regression using python and pylab.
First some notes. One, there is some good info on this online (how else do you think I find this stuff?). Here is a great link: SciPy Cookbook on linear regression. Second, remember that I do things the ‘hard way’ sometimes. Python/Unix Course. Peter Shearer (x42260, firstname.lastname@example.org) Website for class at We meet MWF from 10 to 10:50 in the IGPP Munk Lab Conference Room.
There will be no final. Grades will be based on homework. To participate, you should install on a Mac:gfortran (64-bit version) (also see NetOps wiki) XCode: Macs Developer's environment. Simplicity, Flexibility, Beauty!, Kiwi PyCon 2011, August 27-28, 2011, Wellington, New Zealand. Python for Scientists. In reaction to several colleagues asking about Python , I thought a webpage would be more useful than giving an exhaustive rundown on Python verbally. Python is a script based language that allows programmers/scientists to get their algorithms and functions working in little or no time. A large number of modules and wrappers are being built for Python, like RPy and Scipy , to allow advanced tools and faster processing speeds to be implemented.