Lightning talks are a ~ 5 minutes long, on any topic of interest to other Python people. It doesn't have to be about something that you wrote, it can be something that you learned, or a technique you think other people will be interested in. 00:50 - Sameer Wagh - Data Science without Data? 2:25 - Cheuk Ting Ho - Cultural Shock - My 1st 7:25 - Łukasz Langa - COVARIANCE/CONTRAVARIENCE 11:45 - Seth M Larson - Truststore: OS trust stores in Python 15:50 - Pablo Galindo - Memray: hardcore memory profiling 20:17 - Graham Waters -The grief cycle, data security breaches, how we could code the future of America and the world 24:17 - Mason Egger - What is Synthetic Data 29:55 - Sophia Yang - Holoviz 34:00 - Shiray Lamba - Robyn; The fastest rust based python webframework server 39:00 - Chris May - Three steps to elegant code 43:50 - Chris Ariza - Getting to 100% coverage 49:15 - Indra - Jupyter ML model to production ML as a service
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