PyGotham 2018 talks: highlights and insights

<h2 id="critical-incidents-a-guide-for-developers">Critical Incidents: a guide for developers</h2><ul><li>Presenter: <a href="https://twitter.com/laisvarejao">Lais Varejão</a></li><li>Slides: <a href="http://bit.ly/critical-incidents-guide">http://bit.ly/critical-incidents-guide</a></li></ul><h2 id="pluggable-libs-through-design-patterns">Pluggable Libs Through Design Patterns</h2><ul><li>Presenter: <a href="https://twitter.com/xima">Filipe Ximenes</a></li><li>Video: <a href="https://www.youtube.com/watch?v=PfgEU3W0kyU">https://www.youtube.com/watch?v=PfgEU3W0kyU</a></li><li>Slides: <a href="http://bit.ly/pluggable-libs">http://bit.ly/pluggable-libs</a></li><li>Examples: <a href="https://github.com/filipeximenes/talk-design-patterns">https://github.com/filipeximenes/talk-design-patterns</a></li></ul><h2 id="1-1-1-or-record-deduplication-with-python">1 + 1 = 1 or Record Deduplication with Python</h2><ul><li>Presenter: <a href="https://twitter.com/flaviojuvenal">Flávio Juvenal</a></li><li>Video: <a href="https://www.youtube.com/watch?v=4O87RdBgRJ4">https://www.youtube.com/watch?v=4O87RdBgRJ4</a></li><li>Slides: <a href="http://bit.ly/pygotham-dup">http://bit.ly/pygotham-dup</a></li><li>Source code: <a href="https://github.com/vintasoftware/deduplication-slides/">https://github.com/vintasoftware/deduplication-slides/</a></li></ul><h2 id="a-worked-example-of-using-statistical-and-machine-learning-models-to-time-series-prediction">A worked example of using statistical and machine learning models to time series prediction</h2><ul><li>Presenter: <a href="https://twitter.com/_rebecasarai">Rebeca Sarai</a></li><li>Slides: <a href="http://bit.ly/pygotham-time-series">http://bit.ly/pygotham-time-series</a></li></ul>