Evaluating IDEs for scientific Python

xcorr: comp neuro

* Last updated May 27th, 2013 *

Python is a general purpose scripting language that can be used for statistical analysis, numeric work, machine learning, etc. With packages like SciPy, matplotlib, CUDAmat/gnumpy,Theano, and Scikit, it’s a worthy, free competitor to Matlab.

Of course, Matlab is more than its scripting language; it’s an integrated development environment (IDE) which combines editing, execution, plotting, debugging, etc. Here I evaluate 4 IDEs for scientific Python on my Ubuntu 11.10 PC to see how they stack up to Matlab:

  • IEP 3.2
  • Spyder 2.2
  • PyDev 2.7 + ipython
  • Enthought Canopy 1.0 (commercial)

Generally, these IDEs combine a text editor, an integrated python shell (python or ipython), support for interactive plotting via matplotlib as well as several other features to tie everything together.

View original post 1,256 more words

About Gerhard Hagerer

I am a Computer Science Master. Talk to me!
This entry was posted in Uncategorized. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s