Talk Python to Me: #341: 25 Pandas Functions You Didn’t Know Existed

Do you do anything with Jupyter notebooks? If you do, there is a very good chance you're working with the pandas library. This is one of THE primary tools of anyone doing computational work or data exploration with Python. Yet, this library is massive and knowing the idiomatic way to use it can be hard to discover. <br/> <br/> That's why I've invited Bex Tuychiev to be our guest. He wrote an excellent article highlighting 25 idiomatic Pandas functions and properties we should all keep in our data toolkit. I'm sure there is something here for all of us to take away and use pandas that much better.<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Bex Tuychiev</b>: <a href="https://ift.tt/30Bod8H" target="_blank" rel="noopener">linkedin.com</a><br/> <b>Bex's Medium profile</b>: <a href="https://ift.tt/30Ithsl" target="_blank" rel="noopener">ibexorigin.medium.com</a><br/> <br/> <b>Numpy 25 functions article</b>: <a href="https://ift.tt/2YZBVl6" target="_blank" rel="noopener">towardsdatascience.com</a><br/> <b>missingno package</b>: <a href="https://ift.tt/3clwkJ9" target="_blank" rel="noopener">coderzcolumn.com</a><br/> <b>Watch this episode on YouTube</b>: <a href="https://www.youtube.com/watch?v=ZBC1Q_kYIvE" target="_blank" rel="noopener">youtube.com</a><br/> <b>Episode transcripts</b>: <a href="https://ift.tt/3xaDERP" target="_blank" rel="noopener">talkpython.fm</a><br/> <br/> <b>---------- Stay in touch with us ----------</b><br/> <b>Subscribe on YouTube (for live streams)</b>: <a href="https://ift.tt/3DznvIg" target="_blank" rel="noopener">youtube.com</a><br/> <b>Follow Talk Python on Twitter</b>: <a href="https://twitter.com/talkpython" target="_blank" rel="noopener">@talkpython</a><br/> <b>Follow Michael on Twitter</b>: <a href="https://twitter.com/mkennedy" target="_blank" rel="noopener">@mkennedy</a><br/></div><br/> <strong>Sponsors</strong><br/> <a href='https://ift.tt/3k8IUjq> <a href='https://ift.tt/3aBjB2k> <a href='https://ift.tt/3vjihuL> <a href='https://ift.tt/2PVc9qH Python Training</a>

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