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Index and pandas
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README.md

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```python
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<DF> = pd.read_json/html('<str/path/url>')
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<DF> = pd.read_csv/pickle/excel('<path/url>')
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<DF> = pd.read_sql('<query>', <connection>)
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<DF> = pd.read_sql('<table_name/query>', <connection>)
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<DF> = pd.read_clipboard()
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```
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index.html

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</ul>
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<div><h4 id="encodedecode">Encode, Decode:</h4><pre><code class="python language-python hljs">&lt;DF&gt; = pd.read_json/html(<span class="hljs-string">'&lt;str/path/url&gt;'</span>)
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&lt;DF&gt; = pd.read_csv/pickle/excel(<span class="hljs-string">'&lt;path/url&gt;'</span>)
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&lt;DF&gt; = pd.read_sql(<span class="hljs-string">'&lt;query&gt;'</span>, &lt;connection&gt;)
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&lt;DF&gt; = pd.read_sql(<span class="hljs-string">'&lt;table_name/query&gt;'</span>, &lt;connection&gt;)
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&lt;DF&gt; = pd.read_clipboard()
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</code></pre></div>
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pdf/index_for_pdf.html

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<strong>eval function, <a href="#eval">33</a></strong><br>
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<strong>exceptions, <a href="#exceptions">20</a>-<a href="#exceptionobject">21</a>, <a href="#exceptions-1">23</a>, <a href="#exceptions-2">35</a></strong> </p>
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<h3 id="f">F</h3>
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<p><strong>files, <a href="#fileobject">23</a></strong><br>
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<p><strong>files, <a href="#print">22</a>-<a href="#csv">26</a>, <a href="#readbytesfromfile">28</a>, <a href="#encodedecode">46</a></strong><br>
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<strong>filter function, <a href="#mapfilterreduce">11</a></strong><br>
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<strong>floats, <a href="#abstractbaseclasses">4</a>, <a href="#floats">6</a>, <a href="#types">7</a></strong><br>
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<strong>format, <a href="#format">6</a>-<a href="#comparisonofpresentationtypes">7</a></strong><br>
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<strong>memoryviews, <a href="#memoryview">29</a></strong><br>
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<strong>metaclass attribute, <a href="#metaclassattribute">32</a></strong><br>
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<strong>metaprograming, <a href="#metaprograming">31</a>-<a href="#metaclass">32</a></strong><br>
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<strong>mysql library, <a href="#mysql">26</a>, <a href="#encodedecode">46</a></strong> </p>
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<strong>mysql library, <a href="#mysql">27</a></strong> </p>
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<h3 id="n">N</h3>
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<p><strong>namedtuples, <a href="#namedtuple">3</a></strong><br>
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<strong>nonlocal keyword, <a href="#nonlocal">12</a></strong><br>
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<strong>numpy library, <a href="#numpy">37</a>-<a href="#indexing">38</a></strong> </p>
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<h3 id="o">O</h3>
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<p><strong>open function, <a href="#open">22</a>-<a href="#modes">23</a></strong><br>
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<p><strong>open function, <a href="#contextmanager">17</a>, <a href="#open">22</a>-<a href="#modes">23</a>, <a href="#readobjectfromjsonfile">25</a>, <a href="#readrowsfromcsvfile">26</a>, <a href="#readbytesfromfile">28</a></strong><br>
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<strong>operator module, <a href="#operator">31</a></strong><br>
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<strong>os commands, <a href="#oscommands">24</a>-<a href="#shellcommands">25</a></strong><br>
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<strong>os module, <a href="#path">23</a>, <a href="#oscommands">24</a>-<a href="#shellcommands">25</a></strong> </p>
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<strong>os commands, <a href="#path">23</a>-<a href="#shellcommands">25</a></strong> </p>
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<h3 id="p">P</h3>
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<p><strong>pandas library, <a href="#pandas">44</a>-<a href="#confirmedcovidcasesdowjonesgoldandbitcoinprice">48</a></strong><br>
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<strong>partial function, <a href="#partial">12</a>, <a href="#userdefinedfunctionscannotbevaluessotheymustbewrapped">20</a></strong><br>
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<strong>synthesizer, <a href="#synthesizer">41</a></strong><br>
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<strong>sys module, <a href="#lrucache">15</a>, <a href="#exit">21</a>-<a href="#print">22</a></strong> </p>
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<h3 id="t">T</h3>
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<p><strong>table, <a href="#table">34</a></strong><br>
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<strong>template function, <a href="#dynamicrequest">36</a></strong><br>
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<p><strong>table, <a href="#example">27</a>, <a href="#table">34</a>, <a href="#dataframe">45</a>-<a href="#encodedecode">46</a></strong><br>
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<strong>template, <a href="#format">6</a>, <a href="#dynamicrequest">36</a></strong><br>
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<strong>threading module, <a href="#threading">30</a></strong><br>
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<strong>time module, <a href="#progressbar">34</a>, <a href="#stopwatch">36</a></strong><br>
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<strong>tuples, <a href="#tuple">3</a>, <a href="#abstractbaseclasses">4</a>, <a href="#otheruses">11</a></strong><br>

pdf/index_for_pdf_print.html

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<strong>eval function, 33</strong><br>
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<strong>exceptions, 20-21, 23, 35</strong> </p>
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<h3 id="f">F</h3>
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<p><strong>files, 23</strong><br>
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<p><strong>files, 22-26, 28, 46</strong><br>
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<strong>filter function, 11</strong><br>
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<strong>floats, 4, 6, 7</strong><br>
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<strong>format, 6-7</strong><br>
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<p><strong>hashable, 15, 16</strong><br>
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<strong>hexadecimal representation, 7, 8, 28</strong> </p>
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<h3 id="i">I</h3>
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<p><strong>image, 25, 39-40, 42-43</strong><br>
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<p><strong>image, 35, 39-40, 42-43</strong><br>
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<strong>inline, 11-12, 15, 20</strong><br>
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<strong>input function, 22</strong><br>
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<strong>introspection, 31</strong><br>
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<strong>nonlocal keyword, 12</strong><br>
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<strong>numpy library, 37-38</strong> </p>
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<h3 id="o">O</h3>
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<p><strong>open function, 22-23</strong><br>
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<p><strong>open function, 17, 22-23, 25, 26, 28</strong><br>
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<strong>operator module, 31</strong><br>
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<strong>os commands, 24-25</strong><br>
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<strong>os module, 23, 24-25</strong> </p>
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<strong>os commands, 23-25</strong> </p>
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<h3 id="p">P</h3>
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<p><strong>pandas library, 44-48</strong><br>
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<strong>partial function, 12, 20</strong><br>
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<strong>synthesizer, 41</strong><br>
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<strong>sys module, 15, 21-22</strong> </p>
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<h3 id="t">T</h3>
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<p><strong>table, 34</strong><br>
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<strong>template function, 36</strong><br>
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<p><strong>table, 27, 34, 45-46</strong><br>
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<strong>template, 6, 36</strong><br>
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<strong>threading module, 30</strong><br>
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<strong>time module, 34, 36</strong><br>
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<strong>tuples, 3, 4, 11</strong><br>
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<strong>type, 4, 31</strong> </p>
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<strong>type, 4, 31-32</strong> </p>
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<h3 id="w">W</h3>
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<p><strong>wave module, 40-41</strong><br>
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<strong>web, 36</strong> </p>

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