https://wiki.extremist.software/index.php?action=history&feed=atom&title=Discourse%2FClasses%2F2019-05-17_PyClass 2026-04-05T10:48:38Z Revision history for this page on the wiki MediaWiki 1.39.13 https://wiki.extremist.software/index.php?title=Discourse/Classes/2019-05-17_PyClass&diff=88664&oldid=prev 2026-03-27T23:59:53Z

<p>Discourse archive import: PyClass [classes]</p> <p><b>New page</b></p><div>{{Discourse Archive<br /> | url = https://discuss.noisebridge.info/t/pyclass-intro-to-pandas/813<br /> | date = 2022-05-22<br /> | wayback_url = https://web.archive.org/web/20220522/https://discuss.noisebridge.info/t/pyclass-intro-to-pandas/813<br /> | category = Classes<br /> }}<br /> <br /> = PyClass =<br /> <br /> === peter_imai _2019-05-17_ ===<br /> <br /> Come learn the joy of data wrangling with Pandas. In short order, you’ll be able to join, twist, select, and split your data sets. You’ll leave with a full grasp as to when to wield this powerful library, strategies for dealing with funky data sets and more.<br /> <br /> [[User:Jared|@Jared]] will be around the space around an hour before class to help get environments set up - but if you’re not able to make it, not to fear, we’ll have a web-based notebook that you can access to use throughout class.<br /> <br /> ----<br /> <br /> === peter_imai _2019-05-21_ ===<br /> <br /> Do More!<br /> <br /> - Installation Instructions<br /> <br /> - Pandas Documentation<br /> <br /> - Tidy Data by Hadley Wickham<br /> <br /> - Solid write-up on extensions and tools for specific clean-up jobs.<br /> <br /> Unicode problems?<br /> <br /> - Parsing email addresses?<br /> <br /> - One person’s opinion on a simplified approach to Pandas<br /> <br /> - How to handle missing data<br /> <br /> - Perfect Pandas with Kaggle exercises: Kaggle’s Learn Pandas<br /> <br /> - Plotting in Seaborn<br /> <br /> - Class Notebook - coming<br /> <br /> ----</div>

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