Pandas is a great library that allows you to accomplish a ton of filtering and processing in condensed syntax. But how well do you understand what's happening? Sam Lau and Philip Guo built a great site to help use visually explore how Pandas is processing your dataset with your specific syntax. It's called PandasTutor, and Sam is here to tell us about it.<br/>
<br/>
<strong>Links from the show</strong><br/>
<br/>
<div><b>Sam Lau</b>: <a href="https://www.samlau.me" target="_blank" rel="noopener">samlau.me</a><br/>
<b>PandasTutor</b>: <a href="https://pandastutor.com" target="_blank" rel="noopener">pandastutor.com</a><br/>
<b>PythonTutor</b>: <a href="https://pythontutor.com" target="_blank" rel="noopener">pythontutor.com</a><br/>
<b>Principles and Techniques of Data Science book</b>: <a href="http://www.textbook.ds100.org/intro.html" target="_blank" rel="noopener">textbook.ds100.org</a><br/>
<b>Watch this episode on YouTube</b>: <a href="https://www.youtube.com/watch?v=_vPmMYSGAlU" target="_blank" rel="noopener">youtube.com</a><br/>
<b>Episode transcripts</b>: <a href="https://talkpython.fm/episodes/transcript/358/understanding-pandas-visually-with-pandastutor" target="_blank" rel="noopener">talkpython.fm</a><br/>
<br/>
<b>--- Stay in touch with us ---</b><br/>
<b>Subscribe on YouTube</b>: <a href="https://talkpython.fm/youtube" 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://talkpython.fm/signalwire'>SignalWire</a><br>
<a href='https://talkpython.fm/stackoverflow'>Stack Overflow</a><br>
<a href='https://talkpython.fm/training'>Talk Python Training</a>
↧