<div dir="ltr">I agree with Eric, thanks Travis for running the Python DoJo!<div><br></div><div>I have posted this before, but here's my pandas cheat sheet:</div><div><a href="https://nbviewer.jupyter.org/github/pybokeh/jupyter_notebooks/blob/master/pandas/PandasCheatSheet.ipynb">https://nbviewer.jupyter.org/github/pybokeh/jupyter_notebooks/blob/master/pandas/PandasCheatSheet.ipynb</a><br></div><div><br></div><div>I also wholeheartedly recommend Pandas Cookbook by Ted Petrou  <a href="https://www.amazon.com/Pandas-Cookbook-Scientific-Computing-Visualization/dp/1784393878">https://www.amazon.com/Pandas-Cookbook-Scientific-Computing-Visualization/dp/1784393878</a></div><div>I usually recommend it over Wes McKinney's book. I think the official pandas docs can be used to replace Wes' book, but that is IMO.</div><div><br></div><div>If you've heard of Dask and want to get into distributed computing with it, here's a good article on Dask:</div><div><a href="https://towardsdatascience.com/why-every-data-scientist-should-use-dask-81b2b850e15b">https://towardsdatascience.com/why-every-data-scientist-should-use-dask-81b2b850e15b</a><br></div><div>and also worth checking out are the 2 YouTube video links at the end of that article.</div><div><br></div><div>Also, has anyone heard of Riot.im? It's like Discord, but to a wider audience than gamers. Anyways, I'm on it regularly in the #pydata room.</div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Jun 18, 2018 at 12:19 AM, Travis Risner <span dir="ltr"><<a href="mailto:deeppunster@gmail.com" target="_blank">deeppunster@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi everyone,<br>
<br>
We have had over a dozen people each week for the last three weeks.<br>
Feel free to drop by at Smokehouse Brewing (Dublin Road) on Thursday<br>
nights between 6:00 pm and 9:00 pm. Perhaps you will meet some friends<br>
and make new ones.<br>
<br>
Topics - Python:<br>
<br>
Discussions about how to scan a directory tree and glean the metadata<br>
about the files contained therein. One sample of code to do this can be<br>
found at <a href="https://github.com/deeppunster/Walk_vs_Scan" rel="noreferrer" target="_blank">https://github.com/<wbr>deeppunster/Walk_vs_Scan</a>.<br>
<br>
Discussions about documentation - in code, in variable names, if<br>
comments are good or indications of poor code, etc.<br>
<br>
Discussions about Pandas and the continual improvements. Also, there<br>
are cheatsheets floating around. If I find links to the better ones, I<br>
will pass them along.<br>
<br>
Topics - Non-Python:<br>
<br>
Does the bottom of a suspended slinky move before the top of the slinky<br>
hits it?<br>
<br>
Apple Inc. leadership. (and Microsoft leadership)<br>
<br>
Varieties of Linux and which one is the favorite of whom?<br>
<br>
People looking for jobs.<br>
<br>
Classes ending and new classes starting.<br>
<br>
The perennial game "Fizz Buzz" and how to write a program to simulate it.<br>
<br>
People coming to the DoJo that are brand new to Python and want to know<br>
how to learn it.<br>
<br>
And many more...<br>
<br>
Cheers,<br>
Travis<br>
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</blockquote></div><br></div>