##// END OF EJS Templates
Add transformers to understand code pasted with >>> or IPython prompts....
Add transformers to understand code pasted with >>> or IPython prompts. Now the following all work out of the box: In [8]: In [6]: for i in range(5): ...: ...: print i, ...: ...: ...: 0 1 2 3 4 In [10]: >>> width = 20 In [11]: >>> height = 5*9 In [12]: >>> width * height Out[12]: 900 And the history is still clean: In [13]: %hist -n [snipped] for i in range(5): print i, get_ipython().magic("hist -n") width = 20 height = 5*9 width * height This will be extremely useful when copy/pasting from interactive tutorials, doctests and examples. Also fixes %doctest_mode: https://bugs.launchpad.net/ipython/+bug/505404

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ipy_profile_numpy.py
24 lines | 524 B | text/x-python | PythonLexer
""" IPython 'numpy' profile, to preload NumPy.
This profile loads the math/cmath modules as well as all of numpy.
It exposes numpy via the 'np' shorthand as well for convenience.
"""
from IPython.core import ipapi
import ipy_defaults
def main():
ip = ipapi.get()
try:
ip.ex("import math,cmath")
ip.ex("import numpy")
ip.ex("import numpy as np")
ip.ex("from numpy import *")
except ImportError:
print "Unable to start NumPy profile, is numpy installed?"
main()