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Kenneth Reitz
210 lines
5.3 KiB
HTML
210 lines
5.3 KiB
HTML
<!DOCTYPE html>
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<head>
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<title>Kenneth's log - projects</title>
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<meta charset="utf-8" />
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<link rel="stylesheet" href=".././theme/css/main.css" type="text/css" />
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<link href=".././feeds/all.atom.xml" type="application/atom+xml" rel="alternate" title="Kenneth's log ATOM Feed" />
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</head>
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<body id="index" class="home">
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<a href="http://github.com/kennethreitz/">
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<img style="position: absolute; top: 0; right: 0; border: 0;" src="http://s3.amazonaws.com/github/ribbons/forkme_right_red_aa0000.png" alt="Fork me on GitHub" />
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</a>
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<header id="banner" class="body">
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<h1>
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<a href="../.">Kenneth's log </a>
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</h1>
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<nav><ul>
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<li >
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<a href=".././category/Life.html">Life</a>
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</li>
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<li >
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<a href=".././category/Code.html">Code</a>
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</li>
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<li class="active">
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<a href=".././category/projects.html">projects</a>
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</li>
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</ul></nav>
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</header><!-- /#banner -->
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<aside id="featured" class="body"><article>
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<h1 class="entry-title"><a href=".././tablib.html">Tablib</a></h1>
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<p>Tablib is an extensive Python module for working with tabular datasets. It allows you create tables of data using standard Python datatypes, manipulate them, and easily export to Excel, JSON, YAML, and CSV.</p>
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<p>Basic Usage:</p>
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<pre class="literal-block">
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import tablib
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headers = ('first_name', 'last_name', 'gpa')
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data = [('John', 'Adams', 90), ('George', 'Washington', 67)]
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data = tablib.Dataset(*data, headers=headers)
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</pre>
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<p>You can manipulate your data like a standard Python list:</p>
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<pre class="literal-block">
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>>> data.append(('Henry', 'Ford', 83))
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>>> print data['first_name']
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['John', 'George', 'Henry']
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>>> del data[1]
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</pre>
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<p>You can easily export your data to JSON, YAML, XLS, and CSV.</p>
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<pre class="literal-block">
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>>> print data.json
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[{"first_name": "John", "last_name": "Adams", "gpa": 90},
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{"first_name": "Henry", "last_name": "Ford", "gpa": 83}]
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>>> print data.yaml
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- {age: 90, first_name: John, last_name: Adams}
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- {age: 83, first_name: Henry, last_name: Ford}
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>>> print data.csv
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first_name,last_name,age
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John,Adams,90
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Henry,Ford,83
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>>> open('people.xls', 'w').write(data.xls)
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</pre>
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<p>Excel files with multiple sheets are also supported (via the DataBook object).</p>
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<p>[Source on GitHub] [PyPi Listing]</p>
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</article>
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</aside><!-- /#featured -->
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<section id="content" class="body">
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<h1>Other articles</h1>
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<hr />
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<ol id="posts-list" class="hfeed">
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<li><article class="hentry">
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<header>
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<h1><a href=".././github-syncer-in-python.html" rel="bookmark" title="Permalink to GitHub Syncer in Python">GitHub Syncer in Python</a></h1>
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</header>
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<div class="entry-content">
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<p>Today I rewrote a little utility I've been using for a while to
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keep all of my GitHub repos up to date and organized. It updates /
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clones all private, public, and watched repositories from your
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account. It also detects if your repo is a mirror or fork, and
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files ...</p>
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<a class="readmore" href=".././github-syncer-in-python.html">read more</a>
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</div><!-- /.entry-content -->
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</article></li>
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</ol><!-- /#posts-list -->
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</section><!-- /#content -->
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<section id="extras" class="body">
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<div class="blogroll">
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<h2>Links</h2>
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<ul>
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<li><a href="http://github.com/kennethreitz">GitHub Repos</a></li>
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<li><a href="http://flickr.com/kennethreitz">Photography (Flickr)</a></li>
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<li><a href="http://twitter.com/kennethreitz">Latest Tweets</a></li>
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<li><a href="http://www.linkedin.com/in/kennethreitz">Résumé</a></li>
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<li><a href="http://pick.im/kenneth-reitz">Design Portfolio</a></li>
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<li><a href="http://laterstars.com/kennethreitz">Later Stars</a></li>
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</ul>
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</div><!-- /.blogroll -->
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<div class="social">
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<ul>
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<li><a href=".././feeds/all.atom.xml" rel="alternate">atom feed</a></li>
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<li><a href="http://facebook.com/kennethreitz">Facebook</a></li>
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</ul>
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</div><!-- /.social -->
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</section><!-- /#extras -->
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<footer id="contentinfo" class="body">
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<address id="about" class="vcard body">
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© 2011 Kenneth Reitz & co. All Rights Reserved.
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