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doc/_templates/index.html
@@ -24,14 +24,14 @@ <h1>intro</h1>
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alt="screenshots"/></a></p>
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- <p>For example, to generate 10,000 gaussian random numbers and make a
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- histogram plot binning the data into 100 bins, you simply need to
+ <p>For example, using "ipython -pylab" to provide an interactive
+ environment, to generate 10,000 gaussian random numbers and plot a
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+ histogram with 100 bins, you simply need to
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type</p>
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<pre>
- >>> from pylab import randn, hist
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- >>> x = randn(10000)
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- >>> hist(x, 100)</pre>
+ x = randn(10000)
+ hist(x, 100)</pre>
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<p>For the power user, you have full control of line styles, font
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properties, axes properties, etc, via an object oriented interface
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