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Added a simple exercises related to memory footprint computation

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Nicolas P. Rougier 2016-07-14 17:27:18 -05:00
parent bab502a047
commit 50b73978a4
2 changed files with 16 additions and 3 deletions
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10
README.html
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@ -4,12 +4,12 @@
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="Docutils 0.12: http://docutils.sourceforge.net/" />
<title>100 numpy exercises</title>
<title>100 numpy exercises</title>
<link rel="stylesheet" href="numpy.css" type="text/css" />
</head>
<body>
<div class="document" id="numpy-exercises">
<h1 class="title">100 numpy exercises</h1>
<h1 class="title">100 numpy exercises</h1>
<h2 class="subtitle" id="a-joint-effort-of-the-numpy-community">A joint effort of the numpy community</h2>
<p>The goal is both to offer a quick reference for new and old users and to
@ -48,6 +48,12 @@ is:</p>
<span class="keyword">print</span><span class="punctuation">(</span><span class="name">Z</span><span class="punctuation">)</span>
</pre>
</li>
<li><p class="first">How to find the memory size of any array (★☆☆)</p>
<pre class="code python literal-block">
<span class="name">Z</span> <span class="operator">=</span> <span class="name">np</span><span class="operator">.</span><span class="name">zeros</span><span class="punctuation">((</span><span class="literal number integer">10</span><span class="punctuation">,</span><span class="literal number integer">10</span><span class="punctuation">))</span>
<span class="keyword">print</span><span class="punctuation">(</span><span class="literal string double">&quot;</span><span class="literal string interpol">%d</span><span class="literal string double"> bytes&quot;</span> <span class="operator">%</span> <span class="punctuation">(</span><span class="name">Z</span><span class="operator">.</span><span class="name">size</span> <span class="operator">*</span> <span class="name">Z</span><span class="operator">.</span><span class="name">itesize</span><span class="punctuation">))</span>
</pre>
</li>
<li><p class="first">How to get the documentation of the numpy add function from the command line? (★☆☆)</p>
<pre class="code bash literal-block">
python -c <span class="literal string double">&quot;import numpy; numpy.info(numpy.add)&quot;</span>

9
README.rst
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@ -51,7 +51,14 @@ Thanks to Michiaki Ariga, there is now a
Z = np.zeros(10)
print(Z)
#. How to find the memory size of any array (★☆☆)
.. code-block:: python
Z = np.zeros((10,10))
print("%d bytes" % (Z.size * Z.itesize))
#. How to get the documentation of the numpy add function from the command line? (★☆☆)
.. code-block:: bash