publish-to-github from 8ac2594

Author: jakevdp

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-| <a href="/PythonDataScienceHandbook/pages/index.html">Contents</a> | <a href="/PythonDataScienceHandbook/pages/01.00-ipython-beyond-normal-python.html">IPython: Beyond Normal Python</a> &gt;</p>
+| <a href="index.html">Contents</a> | <a href="01.00-ipython-beyond-normal-python.html">IPython: Beyond Normal Python</a> &gt;</p>
 
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+| <a href="index.html">Contents</a> | <a href="01.00-ipython-beyond-normal-python.html">IPython: Beyond Normal Python</a> &gt;</p>
 
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-&lt; <a href="/PythonDataScienceHandbook/pages/00.00-preface.html">Preface</a> | <a href="/PythonDataScienceHandbook/pages/index.html">Contents</a> | <a href="/PythonDataScienceHandbook/pages/01.01-help-and-documentation.html">Help and Documentation in IPython</a> &gt;</p>
+&lt; <a href="00.00-preface.html">Preface</a> | <a href="index.html">Contents</a> | <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a> &gt;</p>
 
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 <h3 id="Launching-the-IPython-Shell">Launching the IPython Shell<a class="anchor-link" href="#Launching-the-IPython-Shell">&#182;</a></h3><p>This chapter, like most of this book, is not designed to be absorbed passively.
 I recommend that as you read through it, you follow along and experiment with the tools and syntax we cover: the muscle-memory you build through doing this will be far more useful than the simple act of reading about it.
-Start by launching the IPython interpreter by typing <strong><code>ipython</code></strong> on the command-line; alternatively, if you've installed a distribution like Anaconda or EPD, there may be a launcher specific to your system (we'll discuss this more fully in <a href="/PythonDataScienceHandbook/pages/01.01-help-and-documentation.html">Help and Documentation in IPython</a>).</p>
+Start by launching the IPython interpreter by typing <strong><code>ipython</code></strong> on the command-line; alternatively, if you've installed a distribution like Anaconda or EPD, there may be a launcher specific to your system (we'll discuss this more fully in <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a>).</p>
 <p>Once you do this, you should see a prompt like the following:</p>
 
 <pre><code>IPython 4.0.1 -- An enhanced Interactive Python.
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+&lt; <a href="00.00-preface.html">Preface</a> | <a href="index.html">Contents</a> | <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a> &gt;</p>
 
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+&lt; <a href="01.00-ipython-beyond-normal-python.html">IPython: Beyond Normal Python</a> | <a href="index.html">Contents</a> | <a href="01.02-shell-keyboard-shortcuts.html">Keyboard Shortcuts in the IPython Shell</a> &gt;</p>
 
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+&lt; <a href="01.00-ipython-beyond-normal-python.html">IPython: Beyond Normal Python</a> | <a href="index.html">Contents</a> | <a href="01.02-shell-keyboard-shortcuts.html">Keyboard Shortcuts in the IPython Shell</a> &gt;</p>
 
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+&lt; <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a> | <a href="index.html">Contents</a> | <a href="01.03-magic-commands.html">IPython Magic Commands</a> &gt;</p>
 
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+&lt; <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a> | <a href="index.html">Contents</a> | <a href="01.03-magic-commands.html">IPython Magic Commands</a> &gt;</p>
 
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+&lt; <a href="01.02-shell-keyboard-shortcuts.html">Keyboard Shortcuts in the IPython Shell</a> | <a href="index.html">Contents</a> | <a href="01.04-input-output-history.html">Input and Output History</a> &gt;</p>
 
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@@ -1549,7 +1549,7 @@ <h2 id="Timing-Code-Execution:-%timeit">Timing Code Execution: <code>%timeit</co
    ...: 
 1000 loops, best of 3: 373 µs per loop</code></pre>
 <p>We can immediately see that list comprehensions are about 10% faster than the equivalent <code>for</code>-loop construction in this case.
-We'll explore <code>%timeit</code> and other approaches to timing and profiling code in <a href="/PythonDataScienceHandbook/pages/01.07-timing-and-profiling.html">Profiling and Timing Code</a>.</p>
+We'll explore <code>%timeit</code> and other approaches to timing and profiling code in <a href="01.07-timing-and-profiling.html">Profiling and Timing Code</a>.</p>
 
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 In [12]: %lsmagic</code></pre>
 <p>Finally, I'll mention that it is quite straightforward to define your own magic functions if you wish.
-We won't discuss it here, but if you are interested, see the references listed in <a href="/PythonDataScienceHandbook/pages/01.08-more-ipython-resources.html">More IPython Resources</a>.</p>
+We won't discuss it here, but if you are interested, see the references listed in <a href="01.08-more-ipython-resources.html">More IPython Resources</a>.</p>
 
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+&lt; <a href="01.02-shell-keyboard-shortcuts.html">Keyboard Shortcuts in the IPython Shell</a> | <a href="index.html">Contents</a> | <a href="01.04-input-output-history.html">Input and Output History</a> &gt;</p>
 
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+&lt; <a href="01.03-magic-commands.html">IPython Magic Commands</a> | <a href="index.html">Contents</a> | <a href="01.05-ipython-and-shell-commands.html">IPython and Shell Commands</a> &gt;</p>
 
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-<h2 id="Suppressing-Output">Suppressing Output<a class="anchor-link" href="#Suppressing-Output">&#182;</a></h2><p>Sometimes you might wish to suppress the output of a statement (this is perhaps most common with the plotting commands that we'll explore in <a href="/PythonDataScienceHandbook/pages/04.00-introduction-to-matplotlib.html">Introduction to Matplotlib</a>).
+<h2 id="Suppressing-Output">Suppressing Output<a class="anchor-link" href="#Suppressing-Output">&#182;</a></h2><p>Sometimes you might wish to suppress the output of a statement (this is perhaps most common with the plotting commands that we'll explore in <a href="04.00-introduction-to-matplotlib.html">Introduction to Matplotlib</a>).
 Or maybe the command you're executing produces a result that you'd prefer not like to store in your output history, perhaps so that it can be deallocated when other references are removed.
 The easiest way to suppress the output of a command is to add a semicolon to the end of the line:</p>
 
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    4: print(In)</code></pre>
 <p>As usual, you can type <code>%history?</code> for more information and a description of options available.
 Other similar magic commands are <code>%rerun</code> (which will re-execute some portion of the command history) and <code>%save</code> (which saves some set of the command history to a file).
-For more information, I suggest exploring these using the <code>?</code> help functionality discussed in <a href="/PythonDataScienceHandbook/pages/01.01-help-and-documentation.html">Help and Documentation in IPython</a>.</p>
+For more information, I suggest exploring these using the <code>?</code> help functionality discussed in <a href="01.01-help-and-documentation.html">Help and Documentation in IPython</a>.</p>
 
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+&lt; <a href="01.03-magic-commands.html">IPython Magic Commands</a> | <a href="index.html">Contents</a> | <a href="01.05-ipython-and-shell-commands.html">IPython and Shell Commands</a> &gt;</p>
 
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+&lt; <a href="01.04-input-output-history.html">Input and Output History</a> | <a href="index.html">Contents</a> | <a href="01.06-errors-and-debugging.html">Errors and Debugging</a> &gt;</p>
 
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+&lt; <a href="01.04-input-output-history.html">Input and Output History</a> | <a href="index.html">Contents</a> | <a href="01.06-errors-and-debugging.html">Errors and Debugging</a> &gt;</p>
 
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+&lt; <a href="01.05-ipython-and-shell-commands.html">IPython and Shell Commands</a> | <a href="index.html">Contents</a> | <a href="01.07-timing-and-profiling.html">Profiling and Timing Code</a> &gt;</p>
 
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+&lt; <a href="01.05-ipython-and-shell-commands.html">IPython and Shell Commands</a> | <a href="index.html">Contents</a> | <a href="01.07-timing-and-profiling.html">Profiling and Timing Code</a> &gt;</p>
 
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+&lt; <a href="01.06-errors-and-debugging.html">Errors and Debugging</a> | <a href="index.html">Contents</a> | <a href="01.08-more-ipython-resources.html">More IPython Resources</a> &gt;</p>
 
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-<h2 id="Timing-Code-Snippets:-%timeit-and-%time">Timing Code Snippets: <code>%timeit</code> and <code>%time</code><a class="anchor-link" href="#Timing-Code-Snippets:-%timeit-and-%time">&#182;</a></h2><p>We saw the <code>%timeit</code> line-magic and <code>%%timeit</code> cell-magic in the introduction to magic functions in <a href="/PythonDataScienceHandbook/pages/01.03-magic-commands.html">IPython Magic Commands</a>; it can be used to time the repeated execution of snippets of code:</p>
+<h2 id="Timing-Code-Snippets:-%timeit-and-%time">Timing Code Snippets: <code>%timeit</code> and <code>%time</code><a class="anchor-link" href="#Timing-Code-Snippets:-%timeit-and-%time">&#182;</a></h2><p>We saw the <code>%timeit</code> line-magic and <code>%%timeit</code> cell-magic in the introduction to magic functions in <a href="01.03-magic-commands.html">IPython Magic Commands</a>; it can be used to time the repeated execution of snippets of code:</p>
 
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+&lt; <a href="01.06-errors-and-debugging.html">Errors and Debugging</a> | <a href="index.html">Contents</a> | <a href="01.08-more-ipython-resources.html">More IPython Resources</a> &gt;</p>
 
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