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Foundational Infrastructure to Create a Successful Data Science Team | PyData Global 2021
Dask: From POC to Production - April Rathe | PyData Global 2021
Ankit Mahato- Supercharge Scientific Computing in Python with Numba | PyData Global 2020
Data Engineering for Successful Machine Learning - Vini Jaiswal | PyData Global 2021
Lightning Talks Day 2 Session 1 | PyData Global 2021
Dask for Everyone - Hugo Bowne-Anderson | PyData Global 2021
Making the Perfect Cup of Joe - Quan Nguyen | PyData Global 2021
From Jupyter to Production - Filip Jankovic | PyData Global 2021
AIQC; Deep Learning Experiment | PyData Global 2021
PyHEP 2020 High Performance Python
Graph Thinking - Paco Nathan | PyData Global 2021
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Last Updated: September 24, 2026
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Foundational Infrastructure to Create a Successful Data Science Team Speakers: Ethan Swan, Brad Boehmke, Dask: From POC to Production Speaker: April Rathe Summary Dask is a popular library for parallelizing computations in the ... Data Engineering for Successful Machine Learning Speaker: Vini Jaiswal Summary From this session, you will be able to learn: ... Lightning Talks Day 2 Session 1 Speakers: Miki Tebeka, Dana Averbuch, Evgeny Karev, hassaku, Ilana Tuil, Jeremy John Selva, ... Dask for Everyone Speaker: Hugo Bowne-Anderson Summary Dask has transformed what is possible with Making the Perfect Cup of Joe: Active Preference Learning and Optimization Under Uncertainty Speaker: Quan Nguyen Summary ... From Jupyter to Production: Deploying an Influenza Monitoring System at Scale With Wearable Sensors Speaker: Filip Jankovic ... AIQC; Deep Learning Experiment Tracking With Multi-dimensional Pre/post-processing. Speaker: Layne Sadler Summary AIQC ... Henry Schreiner gives a tutorial for Graph Thinking Speaker: Paco Nathan Summary Graph Thinking provides a conceptual framework for solving complex analytics ...
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