34:43

Dani Ushizima, Flavio Araujo, Romuere Silva | Searchable datasets in Python

PyData

38:10

Nitin Borwankar | Applying machine learning to software development to reduce bugs

PyData

40:17

Candida Haynes | Architectures for Exploring Your Personal Data

PyData

1:25:32

Ville Tuulos | TrailDB tutorial Store and process billions of events efficiently

PyData

1:31:27

Krishna Sankar | Pandas, Data Wrangling & Data Science

PyData

1:17:48

Ramesh Sampath | Build Data Apps by Deploying ML Models as API Services

PyData

1:59:59

Tony Kelman | Introduction to Julia

PyData

2:14:01

Bryan Van De Ven | Data Applications with Bokeh

PyData

43:21

Tracy Teal | Keynote: Empowering people by democratizing data skills

PyData

33:19

Josh Yudaken | Building domain specific databases using Python for prototypes during take off

PyData

33:14

Stuart Geiger | Community sustainability in Wikipedia a review of research and initiatives

PyData

42:16

Ross Taylor | Time Series for Python with PyFlux

PyData

36:54

Chris Gorgolewski | Nipype

PyData

35:29

James Powell | The "NumPy" Approach

PyData

36:43

Jamie Whitacre & Brian Granger | JupyterLab

PyData

38:04

Peter Wang | Keynote: Python for Pythonistas

PyData

42:10

Sadayuki Furuhashi | Fighting Against Chaotically Separated Values with Embulk

PyData

40:17

Chia Chi Chang | Moving Forward Through The Darkness

PyData

30:32

Florian Hartl | Large Scale CTR Prediction Lessons Learned

PyData

43:51

Ajinkya More | Resampling techniques and other strategies

PyData

1:05:01

LIghtning Talks

PyData

1:37:36

Divya Sardana | Building Recommender Systems Using Python

PyData

1:22:05

James Powell | What's New in Python 3

PyData

1:28:20

Stephen F Elston, Ronald Lopez | Python Visualization for Exploration of Data

PyData

1:39:41

Jeffrey Yau: Applied Time Series Econometrics in Python and R | PyData San Francisco 2016

PyData

38:12

Megan Price | Keynote: Using the Python Data Science Stack to Determine

PyData

1:19:27

James Powell | Overview of the NumFOCUS Data Science Stack

PyData

35:53

Ian Stokes Rees | Anaconda Ecosystem for Open Data Science

PyData

36:46

Samantha Zeitlin | Clustering Data Science Interviews Seven Related but Distinct Categories

PyData

44:27

Mark Mikofski | Carousel A Python Model Simulation Framework

PyData

31:13

Charles Doutriaux | Virtual Laboratories Vision for an Earth Sciences

PyData

31:22

Christopher Roach | Visualizing Geographic Data With Python

PyData

42:15

Brian Granger | Altair Declarative, Statistical Visualization for Python

PyData

37:29

Sanghamitra Deb | Creating Knowledgebases from unstructured text

PyData

39:16

Taposh Roy, Austin Powell | A hybrid approach to model randomness and fuzziness

PyData

33:09

Dat Tran | How you really get your data science models into production the cool way!

PyData

28:26

Rohan Koodli | Machine Learning vs The Flu

PyData

30:57

Julie Lavoie | How Soon is Now: extracting publication dates with machine learning

PyData

51:42

Anusua Trivedi | Transfer Learning and Finetuning Deep Convolution Neural Network

PyData

45:52

Matt Davis: A Practical Introduction to Airflow | PyData SF 2016

PyData

50:03

Randall Shane | Closing the Machine Learning Loop using Python

PyData

43:51

David Mertz | Keynote: Working Efficiently with Big Data in Text Formats

PyData

42:01

Steve Dower | Why is Windows so broken? and what to do about it

PyData

41:05

Sumeet Sandhu & Tami Lee | Similarity Search in Patents via modern Artificial Intelligence

PyData

37:32

Gregory Kamradt | Derivation & Presentation: How to Effectively Tell A Data Science Story

PyData

35:25

Jonathan Whitmore | Mental Models to Use and Avoid as a Data Scientist

PyData

23:40

improv BOF How to Scrape Data from any Website

PyData