Sunday, September 27th, 2009
Updating NumPy, SciPy, and Matplotlib
I recently upgraded to NumPy to 1.4.0.dev7419, SciPy to 0.8.0.dev5953, and matplotlib version 0.99.1.1.
svn co http://svn.scipy.org/svn/numpy/trunk numpy
cd numpy
python setup.py build
python setup.py install
cd ..
svn co http://svn.scipy.org/svn/scipy/trunk scipy
cd scipy
python setup.py build
python setup.py install
cd ..
python
>>> import numpy
>>> numpy.__version__ # '1.4.0.dev7419'
>>> numpy.test('1','10') # 26 errors in 2231 tests, but usable
>>> import scipy
>>> scipy.__version__ # '0.8.0.dev5953'
>>> scipy.test('1','10') # 165 errors in 4515 tests, but usable
rm -rf /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib*
wget http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-0.99.1/matplotlib-0.99.1.1.tar.gz/download
open matplotlib-0.99.1.1.tar.gz
cd matplotlib-0.99.1.1
python setup.py build
python setup.py install
cd ..
ipython -pylab
>>> plot([1,2,3])
/developer 〆
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Monday, July 13th, 2009
Python Link Roundup
Intra-package References
I just found out that Python 2.5 or newer allows relative imports, something I had been writing custom code to work around. Python documentation gives examples in 3 forms:
from . import echo
from .. import formats
from ..filters import equalizer
Packaging Tools
Alex Clemesha explains modern python hacker tools virtualenv, Fabric, and pip. I find all three of them intersting.
pip is an alternative to easy_install where you can install and upgrade python packages easily with commands like:
pip install -U ipython
Fabric facilitates deploying code to a remote location.
virtualenv lets you setup and manage working environments that aren’t littered with everything you ever installed into your global site-packages directory.
I also recommend virtualenvwrapper, which puts a nice interface on top of virtualenv.
/developer 〆
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Sunday, February 1st, 2009
My Hat Size
Future me, your head is 22 5/8 inches around, making you a hat size 7 1/4. You will thank present me for that information one day.
/life 〆
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Saturday, January 17th, 2009
Mercurial and Git Links
Useful Mercurial Setup suggestions from Ted Naleid.
Daily Git tips at git ready.
/developer 〆
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Saturday, January 3rd, 2009
Introducing numpyIO.py
I implemented numpyIO.py because I often use scipy.io.numpyio.fread() and scipy.io.numpyio.fwrite(), but I don’t want to depend on scipy. It uses numpy’s tofile/fromfile functions instead.
Why might you want this instead of SciPy’s numpyio? Well, I can think of a few reasons:
- it imports faster because it only depends on numpy, not scipy
- easier to package with py2exe or py2app
- it is slightly faster
- it lets you avoid rewriting legacy code that makes extensive use of scipy’s deprecated fread/fwrite
Grab the numpyIO project from bitbucket or clone the repo with:
hg clone http://bitbucket.org/lannybroo/numpyio
/developer 〆
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