PyData London 2017 Lightning Talks - Sunday
summary
Fast, concrete wins: a one-step graphical Windows installer built with Conda constructor that bundles .NET and Java and actually installs; heritage-site coordinates handed to NATO and reused for strikes showing data reuse risks; a 65,000 companies graph in Neo4j that surfaces tax‑haven chains and a 20‑year‑old listed as owner of 758 shell companies; a slideshow tool framed as m12 as Python generator; a demo that boots Conda and Jupyter in 2 minutes 22 seconds; C++→Python bindings via libclang that preserve exceptions; AWS Lambda Python 3.6 and PySpark demos.
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chapters (10)
- 0:00PyData Lightning Talks intro
- 1:52Easy installs with Conda Constructor
- 4:58Data for evil consequences
- 9:32DataKind’s ownership fraud project
- 14:32Wi-Fi performance analysis
- 18:42Quick slideshows with m12
- 24:19Running Jupyter Notebook on Linux in two minutes
- 29:05Calling C++ from Python
- 33:49Jupyter dashboards with PySpark
- 37:56Data in Zeppelin notebooks
