Lightning Talks - Day 1

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

[MartinThoma]

3:23 Culture shock
7:38 Typing in Python (covariance, contravariance)
11:52 Future of trust stores in Python
16:04 Memray
20:30 Security
24:20: Synthetic Data
30:25 HoloViz
35:00 Robyn
39:00 Elegant Code
44:15 100% coverage
50:10: Pandas to production

[NicolasChanCSY]

*Corrected timestamps for everyone*

0:00 - Placeholder so that YouTube can recognise timestamps
​0:50 - 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

@PyCon US Sorry, but your timestamp is wrong. For example, the first timestamp should be 0:50 instead of 0:50:00, which is the 50th minute.