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Event: PyData DC 2018
Other events in this series:
2016
2018
Accelerating Data Science with RAPIDS - Keith Kraus
Approaching AI in Banking - Hussain Sultan
Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Beautiful, Interactive, and Portable Maps using Folium and Live API Data - Ariel M'ndange-Pfupfu
Building a Machine Learning Enabled Bot in the Cloud - Jerry Hargrove
Cleaning and Tidying Data in Pandas - Daniel Chen
Dash: data exploration web apps in pure Python - Chelsea Douglas
Data visualization with plotly py: Version 3 and beyond - Jon Mease
Democratizing NLP content modeling with transfer learning using GPUs - Sanghamitra Deb
Developing Dashboard Applications using Bokeh - Luke Canavan
Dimensionally reducing data squeezing out the good stuff - Aabir Abubaker Kar
Do Your Homework! Writing tests for Data Science and Stochastic Code - David Waterman
End to End Machine learning pipelines for Python driven organizations - Nick Harvey
Five Kinds of Python Functions - Steven Lott
Going beyond “Sorry, I didn’t get that” building AI assistants that scale... - Justina Petraitytė
Graphs: Datastructures to Query - Benjamin Ortiz Ulloa
Inside Out - Creating a Python Ecosystem for Analysis and Better Government - Babila Lima
Intake - taking the pain out of data access - Martin Durant
Keynote: A Sailor's View of Python And the idea of "Defensive Programming" - Steven Lott
Keynote: Learning from Machines - Ashi Krishnan
Keynote: The Business of Open Source - Travis E. Oliphant
Keynote: Using Data Science to Recruit Data Scientists - Maryam Jahanshahi
Machine Learning in the age of increasing Data Privacy Consciousness - Sam Talasila
Making interactive visualizations easy, inside and outside of notebooks - Julia Signell
Measures and Mismeasures of Algorithmic Fairness - Manojit Nandi
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brodie, Kiana Roshan Zamir
Probabilistic Programming in the Real World - Zach Anglin
Recreating, Understanding, and Visualizing FiveThirtyEight's... - Matthew Brems and Joseph Nelson
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
Right Code, Right Place, Right Time - Tim Hopper
Scaling PyData with Dask - Martin Durant and Jim Crist
Sell cron, buy Airflow: Modern data pipelines in finance - James Meickle
Single Page Apps: What an API Developer Should Know - Alison Rowland
Skein: a simpler way to deploy applications on Hadoop Clusters - Jim Crist
Skorch - A Union of Scikit-learn and PyTorch - Thomas Fan
Task Failed Successfully - Jeremiah Lowin
The First Notebook War - Martin Skarzynski
Tracking plasma flows at the solar surface with the Solar Dynamics Observatory - Raphael Attie
uarray - Efficient and Generic Array Computation - Travis E. Oliphant, Saul Shanabrook
Using Sockeye Neural Machine Translation in a Streaming Pipeline - Jeff Zemerick
Web Scraping with Beautiful Soup - Monica Puerto
Webscraping Responsibly for Social Science Research - Graham MacDonald
Why do you have to make it so complicated? - James Powell, Brandon Burroughs, Daniel Allan
Words in Space: A Visual Exploration of Distance, Documents, and Distributions... - Rebecca Bilbro