
Python Web Conf 2023 : Day 5 Recap
A heartfelt thank you to the amazing attendees, speakers, ambassadors, and sponsors of the 5th annual Python Web Conf! We hope this week inspired you to use technology for good.
The conference attracted 315 attendees from over 30 countries across 15 timezones — from Australia to Canada. Even though we are thousands of miles apart, we came together to share our knowledge, celebrate our diversity, and have fun! Mission accomplished!
All 67 presentations are available on LoudSwarm for re-watch. The recordings will be available exclusively on LoudSwarm for 90 days. After 90 days, the videos will be published on Six Feet Up’s YouTube channel.
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KEYNOTE: Taking a step back and leveraging GitOps to wrangle your clusters and projects by JJ ASGHAR @ IBM Key points:
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KEYNOTE: Crowdsourcing Hope: How a documentary filmmaker is using low code tech solutions to save lives by ARIANA VARGAS @ STIGMA Key points:
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Beat the rush! Designing effective load tests for your web application by ANTHONY SHAW @ MICROSOFT AUSTRALIA Key points:
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Debugging Schrödinger's App by STEVE COOCHIN @ LUMIGO Key points:
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Discussing Backend-For-Frontend by NICOLAS FRÄNKEL @ APACHE APISIX Key points:
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Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast by JODIE BURCHELL @ JETBRAINS Key points:
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TUTORIAL: Async Python, Good it is by ROB RICHARDSON Key points:
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Edit Excel and Google Spreadsheets with Python: An Introduction by AL SWEIGART @ INVENT WITH PYTHON Key points:
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Push button deployments in minutes not months by NAGESH VINNAKOTA @ CAPITAL ONE, GOKUL PRABAGAREN @ CAPITALONE Key points:
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Change without changing: Keep your project healthy by refactoring your code by CHRIS MAY @ EVERYDAY SUPERPOWERS Key points:
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Airflow DAGs Made Easy: Introducing the Astro SDK by TAMARA FINGERLIN @ ASTRONOMER.IO, DANIEL IMBERMAN @ ASTRONOMER.IO Key points:
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Joyful Pyodide with...tests? by PAUL EVERITT @ JETBRAINS Key points:
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Observability for Serverless by PAWEL PIWOSZ @ EPAM SYSTEMS Key points:
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Faster, Smarter Climate Mitigation Using Python by JORDAN WARBELOW-FELDSTEIN @ BLOCPOWER Key points:
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Protecting Sensitive Data and Models for Machine Learning by JASON MANCUSO @ CAPE PRIVACY Key points:
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