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@ -465,11 +465,11 @@ Simulation of arrival times and service deliveries in a single server queue::
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<http://nbviewer.jupyter.org/url/norvig.com/ipython/Economics.ipynb>`_
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a simulation of a marketplace by
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`Peter Norvig <http://norvig.com/bio.html>`_ that shows effective
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use of many the tools and distributions provided by this module
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use of many of the tools and distributions provided by this module
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(gauss, uniform, sample, betavariate, choice, triangular, and randrange).
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`A Concrete Introduction to Probability (using Python)
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<http://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_
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a tutorial by `Peter Norvig <http://norvig.com/bio.html>`_ covering
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the basics of probability theory, how to write simulations, and
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performing data analysis using Python.
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how to perform data analysis using Python.
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@ -60,11 +60,16 @@ objects:
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Remove all items from the list. Equivalent to ``del a[:]``.
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.. method:: list.index(x)
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.. method:: list.index(x[, start[, end]])
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:noindex:
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Return the index in the list of the first item whose value is *x*. It is an
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error if there is no such item.
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Return zero-based index in the list of the first item whose value is *x*.
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Raises a :exc:`ValueError` if there is no such item.
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The optional arguments *start* and *end* are interpreted as in the slice
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notation and are used to limit the search to a particular subsequence of
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*x*. The returned index is computed relative to the beginning of the full
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sequence rather than the *start* argument.
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.. method:: list.count(x)
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@ -103,6 +108,8 @@ An example that uses most of the list methods::
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[66.25, 333, -1, 333, 1, 1234.5, 333]
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>>> a.index(333)
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1
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>>> a.index(333, 2) # search for 333 starting at index 2
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2
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>>> a.remove(333)
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>>> a
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[66.25, -1, 333, 1, 1234.5, 333]
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