I thought I'd say a word about Python 3 here.
I did
$ brew install python3 --framework |
which first installed readline and sqlite (linked into /usr/local/opt), as well as gdbm and xz, and also Distribute and pip.
So now we have:
$ ls /usr/local/lib/python3.3/site-packages/ __pycache__ setuptools-0.6c11-py3.3.egg-info distribute-0.6.45-py3.3.egg setuptools.pth easy-install.pth site.py pip-1.3.1-py3.3.egg sitecustomize.py |
$ python3 Python 3.3.2 (default, Jun 19 2013, 15:41:32) [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from test import autotest == CPython 3.3.2 (default, Jun 19 2013, 15:41:32) [GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] == Darwin-12.4.0-x86_64-i386-64bit little-endian == /usr/local/bin Testing with flags: sys.flags(debug=0, inspect=0, interactive=0, optimize=0, dont_write_bytecode=0, no_user_site=0, no_site=0, ignore_environment=0, verbose=0, bytes_warning=0, quiet=0, hash_randomization=1) [ 1/372] test_grammar [ 2/372] test_opcodes [ 3/372] test_dict [ 4/372] test_builtin |
The tests hang at this point, and I haven't figured out why yet. They do fine with my system Python. Then I did:
$ pip3 install numpy $ pip3 install nose |
since we need numpy for matplotlib (and don't get it for free as with System Python).
Following this advice, I did:
$ python3
..
>>> import numpy
>>> numpy.test('full')
Ran 4808 tests in 64.611s
OK (KNOWNFAIL=6, SKIP=6)
<nose.result.TextTestResult run=4808 errors=0 failures=0> |
Now to matplotlib
$ git clone git://github.com/matplotlib/matplotlib.git $ cd matplotlib $ python3 setup.py build $ sudo python3 setup.py install |
(Grabs pyparsing, dateutil, tornado).
$ cd..
$ python3
..
>>> import matplotlib.pyplot as plt
>>> Y = [1,4,9,16]
>>> plt.scatter(range(len(Y)),Y,s=250,color='r')
<matplotlib.collections.PathCollection object at 0x1094e4650>
>>> plt.savefig('example.png') |
works!
$ pip3 install cython |
had a permissions problem, so I did
$ sudo chmod -R 755 /usr/local/lib/python3.3/site-packages/ $ pip3 install cython |
Now, for scipy
$ git clone git://github.com/scipy/scipy.git scipy $ cd scipy $ python3 setup.py build $ sudo python3 setup.py install |
$ cd .. $ python3 .. >>> from scipy.stats import norm >>> norm.cdf(2) 0.97724986805182079 |
>>> import scipy
>>> scipy.test('full')
..
Ran 7486 tests in 725.812s
FAILED (KNOWNFAIL=42, SKIP=296, failures=82)
|
Some failures, but all in all it looks good, and a very easy install.
