Oege Dijk - Quickly Deploying Explainable Al dashboards | PyData GLobal 2020

PyData

Oege Dijk - Quickly Deploying Explainable Al dashboards | PyData GLobal 2020

4 years ago - 26:18

How You Benefit by Contributing to Open Source | PyData Global 2021

PyData

How You Benefit by Contributing to Open Source | PyData Global 2021

3 years ago - 1:07:13

Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

PyData

Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

1 month ago - 28:42

Eyal Gruss - Let our optima combine! | PyData Global 2024

PyData

Eyal Gruss - Let our optima combine! | PyData Global 2024

2 months ago - 29:01

AIQC; Deep Learning Experiment | PyData Global 2021

PyData

AIQC; Deep Learning Experiment | PyData Global 2021

3 years ago - 24:20

Cameron Davidson Pilon - A crash-update to lifelines | PyData Global 2020

PyData

Cameron Davidson Pilon - A crash-update to lifelines | PyData Global 2020

4 years ago - 5:17

Eduardo Blancas - Rethinking Software Testing for Data Science| PyData Global 2020

PyData

Eduardo Blancas - Rethinking Software Testing for Data Science| PyData Global 2020

4 years ago - 30:10

Alexander Hendorf - Better Code for Data Science | PyData Global 2020

PyData

Alexander Hendorf - Better Code for Data Science | PyData Global 2020

4 years ago - 40:30

Shashank Shekhar - Measurement of Trust in AI | PyData Global 2022

PyData

Shashank Shekhar - Measurement of Trust in AI | PyData Global 2022

2 years ago - 31:09

Dix et al - Lessons Learned Building Our Own Dashboard Solution | PyData Global 2022

PyData

Dix et al - Lessons Learned Building Our Own Dashboard Solution | PyData Global 2022

2 years ago - 26:39

Geir Arne Hjelle - Maps, Maps, Maps! | PyData Global 2022

PyData

Geir Arne Hjelle - Maps, Maps, Maps! | PyData Global 2022

2 years ago - 30:12

Jesper Dramsch - How to guarantee your machine learning model| PyData Global 2020

PyData

Jesper Dramsch - How to guarantee your machine learning model| PyData Global 2020

4 years ago - 30:39

Max Ghenis at PyData Global 2020: UBI Center, a think tank built on GitHub, Python, and Jupyter

UBI Center

Max Ghenis at PyData Global 2020: UBI Center, a think tank built on GitHub, Python, and Jupyter

4 years ago - 10:33

Bodo: Supercomputing-Like Performance and Scale for Python/Pandas | PyData Global 2021

PyData

Bodo: Supercomputing-Like Performance and Scale for Python/Pandas | PyData Global 2021

3 years ago - 28:32

Borar, Liu, & Shrivastava - Build Your Own Transformer | PyData Global 2024

PyData

Borar, Liu, & Shrivastava - Build Your Own Transformer | PyData Global 2024

2 months ago - 1:28:57

Graph Thinking - Paco Nathan | PyData Global 2021

PyData

Graph Thinking - Paco Nathan | PyData Global 2021

3 years ago - 28:49

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

PyData

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

2 years ago - 27:28

Risk at Scale - Barry Fitzgerald | PyData Global 2021

PyData

Risk at Scale - Barry Fitzgerald | PyData Global 2021

3 years ago - 29:55

Natural Language Processing: Trends, Challenges and Opportunities | PyData Global 2021

PyData

Natural Language Processing: Trends, Challenges and Opportunities | PyData Global 2021

3 years ago - 56:47

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

PyData

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

2 years ago - 23:21

Mike Rothenhäusler - Everything you need to know about Transformer Models | PyData Global 2022

PyData

Mike Rothenhäusler - Everything you need to know about Transformer Models | PyData Global 2022

2 years ago - 27:31

Samuel Oranyeli - Inequality Joins in Pandas with Pyjanitor | PyData Global 2022

PyData

Samuel Oranyeli - Inequality Joins in Pandas with Pyjanitor | PyData Global 2022

2 years ago - 26:38

David Chapuis - Build a web app in Python | PyData Global 2022

PyData

David Chapuis - Build a web app in Python | PyData Global 2022

2 years ago - 9:06

Packaging PyData for Enterprise Software Supply Chain | PyData Global 2021

PyData

Packaging PyData for Enterprise Software Supply Chain | PyData Global 2021

3 years ago - 16:02

Ben Fowler & Chelsey Meise- OpeningTheBlackBox | PyData Global 2020

PyData

Ben Fowler & Chelsey Meise- OpeningTheBlackBox | PyData Global 2020

4 years ago - 28:32

Law, Graphs & Python - Adam Zadrożny | PyData Global 2021

PyData

Law, Graphs & Python - Adam Zadrożny | PyData Global 2021

3 years ago - 28:07

Foundational Infrastructure to Create a Successful Data Science Team | PyData Global 2021

PyData

Foundational Infrastructure to Create a Successful Data Science Team | PyData Global 2021

3 years ago - 33:06

Measuring User Effort and the Impact on Business - PyData Global Conference 2024

Data Stories

Measuring User Effort and the Impact on Business - PyData Global Conference 2024

4 months ago - 20:25

Extending Jupyter Data Visualizations Beyond the Notebook - Seth Shelnutt | PyData Global 2021

PyData

Extending Jupyter Data Visualizations Beyond the Notebook - Seth Shelnutt | PyData Global 2021

3 years ago - 29:48

Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021

PyData

Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021

3 years ago - 31:58

Lu Qiu - Maximize GPU Utilization for Model Training | PyData Global 2023

PyData

Lu Qiu - Maximize GPU Utilization for Model Training | PyData Global 2023

9 months ago - 27:49

Thomas Caswell - Seperation Of Scales | PyData Global 2020

PyData

Thomas Caswell - Seperation Of Scales | PyData Global 2020

4 years ago - 35:06

Jeff Bezanson - Statically-Compiled Julia for Library Development | PyData Global 2024

PyData

Jeff Bezanson - Statically-Compiled Julia for Library Development | PyData Global 2024

2 months ago - 30:43

Jon Nordby - Microcontrollers + Machine Learning with MicroPython in 1-2-3 | PyData Global 2024

PyData

Jon Nordby - Microcontrollers + Machine Learning with MicroPython in 1-2-3 | PyData Global 2024

2 months ago - 28:37

Jeff Hale - Better Python Coding with Prefect Blocks | PyData Global 2022

PyData

Jeff Hale - Better Python Coding with Prefect Blocks | PyData Global 2022

2 years ago - 27:32

Using Reproducible Experiments To Create Better Machine Learning Models | PyData Global 2021

PyData

Using Reproducible Experiments To Create Better Machine Learning Models | PyData Global 2021

3 years ago - 29:08

Dean Pleban - ML in Production–What does “Production” even mean? | PyData Global 2022

PyData

Dean Pleban - ML in Production–What does “Production” even mean? | PyData Global 2022

2 years ago - 25:15

Manojit Nandi - Games, Algorithms, and Social Good | PyData Global 2020

PyData

Manojit Nandi - Games, Algorithms, and Social Good | PyData Global 2020

4 years ago - 29:54

Rosio Reyes - An Evolving Jupyter Notebook | PyData Global 2022

PyData

Rosio Reyes - An Evolving Jupyter Notebook | PyData Global 2022

2 years ago - 26:46

Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021

PyData

Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021

3 years ago - 26:43

Dask: From POC to Production - April Rathe | PyData Global 2021

PyData

Dask: From POC to Production - April Rathe | PyData Global 2021

3 years ago - 25:48

Ryan Varley - Let's get you started with asynchronous programming | PyData Global 2024

PyData

Ryan Varley - Let's get you started with asynchronous programming | PyData Global 2024

2 months ago - 30:09

Lightning Talks Day 2 Session 1 | PyData Global 2021

PyData

Lightning Talks Day 2 Session 1 | PyData Global 2021

3 years ago - 1:19:34

Andy Terrel - How to review a model | PyData Global 2020

PyData

Andy Terrel - How to review a model | PyData Global 2020

4 years ago - 35:44

Marysia Winkels - Data-Centric AI Cookbook-let's prep that data | PyData Global 2022

PyData

Marysia Winkels - Data-Centric AI Cookbook-let's prep that data | PyData Global 2022

2 years ago - 29:36

jose berengueres - Data Visualization & Storytelling | PyData Global 2020

PyData

jose berengueres - Data Visualization & Storytelling | PyData Global 2020

4 years ago - 11:05

Keynote: Pia Mancini | PyData Global 2022

PyData

Keynote: Pia Mancini | PyData Global 2022

2 years ago - 30:01

Shir Chorev - How to Properly Test ML Models & Data | PyData Global 2022

PyData

Shir Chorev - How to Properly Test ML Models & Data | PyData Global 2022

2 years ago - 29:56

Kacper Łukawski - an introduction to approximate nearest neighbors | PyData Global 2022

PyData

Kacper Łukawski - an introduction to approximate nearest neighbors | PyData Global 2022

2 years ago - 9:35

Data Science in the Enterprise: A Holistic Approach - Gaby Lio | PyData Global 2021

PyData

Data Science in the Enterprise: A Holistic Approach - Gaby Lio | PyData Global 2021

3 years ago - 29:00

Miroslav Šedivý - Python Lets go home quickly| PyData Global 2020

PyData

Miroslav Šedivý - Python Lets go home quickly| PyData Global 2020

4 years ago - 9:47

Morgane Mahaud - Steering a data science project | PyData Global 2022

PyData

Morgane Mahaud - Steering a data science project | PyData Global 2022

2 years ago - 23:00

Python Dashboarding Shootout and Showdown | PyData Global 2021

PyData

Python Dashboarding Shootout and Showdown | PyData Global 2021

3 years ago - 1:46:57