ivanov / tmp Goto Github PK

Following up on Justin's matplotlib tutorial...

• quick matplotlib teaser, with a detailed explanation.

Welcome to the Community...

• MayaVi
• sckits:
  • scikit-image - image processing
  • scikit-learn - machine learning
• pandas - data analysis
• statsmodels - just what you'd think.
• sympy - symbolic mathematics
  • Release 0.7.2
• cython - C speed without semicolons! (or pointers)
• pytables - efficiently and easily cope with extremely large amounts of data (HDF5).

• Spyder - interactive development environment for the Python (IDE)
• Ninja-IDE - "Ninja-IDE Is Not Just Another IDE"

The following can be your "one-stop shopping" destinations for getting up-and-running with a whole ecosystems of tools.

• Python (x,y) - Windows, experimental Linux support.
• Scipy Superpack - Mac OS X (recent version only).
• Sage - not only does it ship with the tools we discussed, but also many others, both numerical and symbolic. "The Borg" which assimilates nearly 100 open-source packages and features a unified interface. (cross-platform)

• Enthought Python Distribution (EPD) - Free for academics (temporarily not available), EPD Free has no cost to anyone, and has the basics you off the ground. (cross-platform)
• Anaconda Community Edition is free, Pro version available. (cross-platform)

Stéfan: We can flip open the IPython sympy notebook... show the galleries for skimage, sklearn. I can run through the SciPy docs.

sjvdwalt: What we are thinking is always worth writing down sjvdwalt: Actually, scratch that pi: Are you sure? pi: I think with version control, this will be one for the history books. pi: I think with version control, this will be one for the history books. sjvdwalt: Or at least for git blame pi: ahh, but I could doctor that, as well, Dr.