1:00:45

Keynote: The Business of Open Source - Travis E. Oliphant

PyData

43:52

Keynote: A Sailor's View of Python And the idea of "Defensive Programming" - Steven Lott

PyData

52:22

Keynote: Using Data Science to Recruit Data Scientists - Maryam Jahanshahi

PyData

42:29

Keynote: Learning from Machines - Ashi Krishnan

PyData

1:42:01

Recreating, Understanding, and Visualizing FiveThirtyEight's... - Matthew Brems and Joseph Nelson

PyData

1:20:35

Building a Machine Learning Enabled Bot in the Cloud - Jerry Hargrove

PyData

1:17:24

Scaling PyData with Dask - Martin Durant and Jim Crist

PyData

1:27:22

Daniel Chen: Cleaning and Tidying Data in Pandas | PyData DC 2018

PyData

1:31:15

Five Kinds of Python Functions - Steven Lott

PyData

58:06

Web Scraping with Beautiful Soup - Monica Puerto

PyData

1:31:27

Going beyond “Sorry, I didn’t get that” building AI assistants that scale... - Justina Petraitytė

PyData

39:20

Sell cron, buy Airflow: Modern data pipelines in finance - James Meickle

PyData

41:53

Inside Out - Creating a Python Ecosystem for Analysis and Better Government - Babila Lima

PyData

39:10

Right Code, Right Place, Right Time - Tim Hopper

PyData

33:44

Intake - taking the pain out of data access - Martin Durant

PyData

39:28

Tracking plasma flows at the solar surface with the Solar Dynamics Observatory - Raphael Attie

PyData

39:57

Webscraping Responsibly for Social Science Research - Graham MacDonald

PyData

35:18

Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott

PyData

24:39

The First Notebook War - Martin Skarzynski

PyData

26:07

Skein: a simpler way to deploy applications on Hadoop Clusters - Jim Crist

PyData

43:01

uarray - Efficient and Generic Array Computation - Travis E. Oliphant, Saul Shanabrook

PyData

40:48

Measures and Mismeasures of Algorithmic Fairness - Manojit Nandi

PyData

36:20

Task Failed Successfully - Jeremiah Lowin

PyData

37:56

Skorch - A Union of Scikit-learn and PyTorch - Thomas Fan

PyData

33:23

Machine Learning in the age of increasing Data Privacy Consciousness - Sam Talasila

PyData

29:04

Single Page Apps: What an API Developer Should Know - Alison Rowland

PyData

44:32

Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brodie, Kiana Roshan Zamir

PyData

43:06

Democratizing NLP content modeling with transfer learning using GPUs - Sanghamitra Deb

PyData

40:52

RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro

PyData

42:21

Do Your Homework! Writing tests for Data Science and Stochastic Code - David Waterman

PyData

43:19

Probabilistic Programming in the Real World - Zach Anglin

PyData

37:02

Data visualization with plotly py: Version 3 and beyond - Jon Mease

PyData

36:55

Approaching AI in Banking - Hussain Sultan

PyData

45:06

Words in Space: A Visual Exploration of Distance, Documents, and Distributions... - Rebecca Bilbro

PyData

35:36

Making interactive visualizations easy, inside and outside of notebooks - Julia Signell

PyData

39:11

Accelerating Data Science with RAPIDS - Keith Kraus

PyData

34:25

Dimensionally reducing data squeezing out the good stuff - Aabir Abubaker Kar

PyData

26:18

Developing Dashboard Applications using Bokeh - Luke Canavan

PyData

38:44

End to End Machine learning pipelines for Python driven organizations - Nick Harvey

PyData

35:05

Using Sockeye Neural Machine Translation in a Streaming Pipeline - Jeff Zemerick

PyData

41:10

Dash: data exploration web apps in pure Python - Chelsea Douglas

PyData

49:07

Why do you have to make it so complicated? - James Powell, Brandon Burroughs, Daniel Allan

PyData

42:58

Graphs: Datastructures to Query - Benjamin Ortiz Ulloa

PyData

38:18

Beautiful, Interactive, and Portable Maps using Folium and Live API Data - Ariel M'ndange-Pfupfu

PyData