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  • Title: ➤  JSJ 447: Using Javascript For Data Analysis And Data Science With Daniel Lathrop
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  • Internet Archive ID: ➤  5azbjzee45dqxe4it5lnppeoabasbe2qmhkmewhv

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<p>Our guest is Daniel Lathrop, a freelance investigative data journalist and educator, and formerly a newspaper reporter and Professor of Journalism and Media informatics at the University of Iowa. On this show, Daniel describes how JavaScript is a great choice for doing data analysis and data science, potentially even more so than other languages which are often used for this purpose, such as Python and R. Daniel also provides information about lots of useful tools and techniques to use in this context.</p><h3>Sponsors</h3><ul><li>?</li><li><a href="%5C" rel="nofollow">The Complete Software Developer’s Career Guide</a> – Grab a Copy Today</li><li>?</li><li><a href="%5C" rel="nofollow">CacheFly</a></li></ul><h3>Panel</h3><ul><li>?</li><li>AJ ONeal</li><li>?</li><li>Aimee Knight</li><li>?</li><li>Dan Shappir</li></ul><h4>Special Guest</h4><ul><li>?</li><li>Daniel Lathrop</li></ul><h3>Links</h3><ul><li>?</li><li><a href="%5C" rel="nofollow">https://daniel.buzz/</a></li></ul><h3>Picks</h3><h4>Aimee</h4><ul><li>?</li><li><a href="%5C" rel="nofollow">Forecasting at Scale</a></li></ul><h4>Dan Shappir</h4><ul><li>?</li><li><a href="%5C" rel="nofollow">https://www.data-forge-notebook.com</a></li></ul><h4>AJ</h4><ul><li>?</li><li><a href="%5C" rel="nofollow">Propaganda in Nazi Germany</a></li></ul><h4>Daniel Lathrop</h4><ul><li>?</li><li><a href="%5C" rel="nofollow">https://www.data-forge-notebook.com</a></li><li>?</li><li><a href="%5C" rel="nofollow">https://www.claudiajs.com</a></li><li>?</li><li><a href="%5C" rel="nofollow">https://js4ds.org/</a></li></ul><ul><li>?</li><li>Follow JavaScript Jabber on Twitter > <a href="%5C" rel="nofollow">@JSJabber</a></li></ul>

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"JSJ 447: Using Javascript For Data Analysis And Data Science With Daniel Lathrop" is available for download from The Internet Archive in "audio" format, the size of the file-s is: 62.58 Mbs, and the file-s went public at Sun Jan 10 2021.

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