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SF.net SVN: matplotlib: [4033] trunk/py4science/workbook
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From: <jd...@us...> - 2007-10-27 04:09:16
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Revision: 4033
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4033&view=rev
Author: jdh2358
Date: 2007-10-26 21:09:13 -0700 (Fri, 26 Oct 2007)
Log Message:
-----------
late nite pomona workbook build
Modified Paths:
--------------
trunk/py4science/workbook/convolution.tex
trunk/py4science/workbook/intro_stats.tex
trunk/py4science/workbook/main.pdf
trunk/py4science/workbook/stats_distributions.tex
Modified: trunk/py4science/workbook/convolution.tex
===================================================================
--- trunk/py4science/workbook/convolution.tex 2007-10-27 04:00:59 UTC (rev 4032)
+++ trunk/py4science/workbook/convolution.tex 2007-10-27 04:09:13 UTC (rev 4033)
@@ -4,7 +4,7 @@
The output of a linear system is given by the convolution of its
impulse response function with the input. Mathematically
\[
- y(t) = \int_0^\t x(\tau)r(t-\tau)d\tau
+ y(t) = \int_0^t x(\tau)r(t-\tau)d\tau
\]
This fundamental relationship lies at the heart of linear systems
analysis. It is used to model the dynamics of calcium buffers in
@@ -85,7 +85,7 @@
function $r$ by studying the amplitude and phase spectrum of its
transform $R$. In the example below, however, we simply use the
multiplication property to perform the same convolution in Fourier
-space to confirm the numerical result from \textt{numpy.convolve}.
+space to confirm the numerical result from \texttt{numpy.convolve}.
\lstinputlisting[label=code:convolution_demo,caption={IGNORED}]{skel/convolution_demo_skel.py}
Modified: trunk/py4science/workbook/intro_stats.tex
===================================================================
--- trunk/py4science/workbook/intro_stats.tex 2007-10-27 04:00:59 UTC (rev 4032)
+++ trunk/py4science/workbook/intro_stats.tex 2007-10-27 04:09:13 UTC (rev 4033)
@@ -1,16 +1,16 @@
-\textt{R}, a statistical package based on \textt{S}, is viewd by some
+\texttt{R}, a statistical package based on \texttt{S}, is viewd by some
as the best statistical software on the planet, and in the open source
world it is the clear choice for sophisticated statistical analysis.
-Like python, \textt{R} is an interpreted language written in C with an
+Like python, \texttt{R} is an interpreted language written in C with an
interactive shell. Unlike python, which is a general purpose
-programming language, \textt{R} is a specialized statistical language.
+programming language, \texttt{R} is a specialized statistical language.
Since python is a excellent glue language, with facilities for
providing a transparent interface to FORTRAN, C, C++ and other
languages, it should come as no surprise that you can harness
-\textt{R}'s immense statistical power from python, through the
+\texttt{R}'s immense statistical power from python, through the
\texttt{rpy} third part extension library.
-However, \textt{R} is not without its warts. As a language, it lacks
+However, \texttt{R} is not without its warts. As a language, it lacks
python's elegance and advanced programming constructs and idioms. It
is also GPL, which means you cannot distribute code based upon it
unhindered: the code you distribute must be GPL as well (python, and
@@ -19,10 +19,10 @@
application).
Fortunately, the core tools scientific libraries for python (primarily
-\textt{numpy} and \texttt{scipy.stats}) provide a wide array of
+\texttt{numpy} and \texttt{scipy.stats}) provide a wide array of
statistical tools, from basic descriptive statistics (mean, variance,
skew, kurtosis, correlation, \dots) to hypothesis testing (t-tests,
-$\Chi$-Square, analysis of variance, general linear models, \dots) to
+$\chi$-Square, analysis of variance, general linear models, \dots) to
analytical and numerical tools for working with almost every discrete
and continuous statistical distribution you can think of (normal,
gamma, poisson, weibull, lognormal, levy stable, \dots).
Modified: trunk/py4science/workbook/main.pdf
===================================================================
--- trunk/py4science/workbook/main.pdf 2007-10-27 04:00:59 UTC (rev 4032)
+++ trunk/py4science/workbook/main.pdf 2007-10-27 04:09:13 UTC (rev 4033)
@@ -171,7 +171,7 @@
/ProcSet [ /PDF ]
>> endobj
104 0 obj <<
-/Length 1521
+/Length 1520
/Filter /FlateDecode
>>
stream
@@ -181,8 +181,9 @@
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УnC\xE5慜\xEF\xD5/\x9B\xAA\x8C\xF2n\xA4}u#j&\x9EV\xDFN<\xFA*A\xA8ۅ,\xD6M0\xA5o\x84\xE1\xC2\xF9\xE0\xF4-\x9D]A\xD1ݿ\xE7b7 |
