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Conferences / PyData

PyData Austin 2019

Dec 7–8, 2019 · Galvanize Austin, Austin, TX, United States

Conference
PyData Data science & ML
Dates
Dec 7, 2019 – Dec 8, 2019
Venue
Galvanize Austin
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Website
pydata.org
Recorded
4 sponsors · 37 speaker appearances
Notes
Hosted by Galvanize, 119 Nueces St, Austin, TX 78701. Keynotes: Travis Oliphant, Katrina Riehl, Andy Terrel, Julie Hollek, plus a Q&A with Peter Wang. Speakers: all scheduled sessions (keynote Q&A duplicates omitted); affiliations only where the pydata.org speaker profile states one. Video URLs matched from the PyData YouTube playlist "PyData Austin 2019". Ticket prices not found (Wayback Machine unreachable during research).

Ticket prices

No ticket prices recorded

Sponsors 4

Title / headline 1

Gold 1

Silver 1

Community 1

Speakers and talks 37

SpeakerCompanyRoleTalkLinks
Andy TerrelRexKeynoteBecoming a Data Head, a reflection on the trade offs and decision points in build a data teamVideo
Julie HollekTwitterKeynoteData Science: How do you even?Video
Katrina RiehlCloudflareKeynoteWhat the...? Data Science Questions Asked and AnsweredVideo
Peter WangAnacondaKeynoteQ&A with Peter Wang, CEO and co-founder of AnacondaVideo
Travis E OliphantQuansightKeynoteExtending Python Into the FutureVideo
Alan Chin—SpeakerAI pipelines powered by Jupyter notebooksVideo
Alex Bozarth—SpeakerCustomizing JupyterLab using extensionsVideo
Ariel Wolfmann—SpeakerRecommendations at Rappi: from MVP to Data ProductVideo
Bugra AkyildizJet.comSpeakerPutting Tensorflow Models into ProductionVideo
Chris Leonard—SpeakerEnhancing Common Natural Language Processing with Cognitive LinguisticsVideo
Dalton A. R. Sakthivadivel—SpeakerThe Cortex in the Code: How Neuroscience Makes AI IntelligentVideo
Deeksha YennamWalmartSpeakerMultilingual embeddings to scale NLP models to multiple languagesVideo
Dharhas PothinaQuansightSpeakerBuilding a User Maintainable Visualization Dashboard for the Large Synoptic Survey Telescope (LSST)Video
Dhavide Aruliah—SpeakerAn Introduction to Sentiment Analysis of Textual DataVideo
Fatma TarlaciQuansightSpeakerAn Introduction to Sentiment Analysis of Textual DataVideo
Hao JinAmazon Web ServicesSpeakerAccelerate large-scale machine learning with NP on MXNet​Video
Jacob Barhak—SpeakerVisualizing Machine Learning of Units of Measure using PyVizVideo
James A. BednarAnacondaSpeakerPanel: Dashboards for PyDataVideo
James Powell—SpeakerObjectionable ContentVideo
Jim CristAnacondaSpeakerIntroducing Dask-Gateway: Dask clusters as a serviceVideo
Joe GartnerGalvanizeSpeakerAddressing the Scarcity of Data ScientistVideo
Kevin Horecka—SpeakerSaving Animals with Data: 3 Case Studies in Applying Advanced Technology in Animal SheltersVideo
Lilly Winfree—SpeakerFrictionless Data PipelinesVideo
Luciano ResendeIBMSpeakerCustomizing JupyterLab using extensionsVideo
Luciano ResendeIBMSpeakerAI pipelines powered by Jupyter notebooksVideo
Max KleinQuansightSpeakerWorking interactively with large and remote datasets in JupyterLabVideo
Morgan CundiffShopRunnerSpeakerDevelop Data Science for Business Value: a Phoenix StoryVideo
Nicole CarlsonShopRunnerSpeakerProductionalizing a Data Science TeamVideo
Peter WangAnacondaSpeakerValues-based OSS Open DiscussionVideo
Pushkar Kumar JainArundoSpeakerEvaluation of Cloud Hosting Frameworks for Machine Learning Based Equipment MonitoringVideo
Saloni JainNVIDIASpeakerSpeeding up Machine Learning tasks using GPUs in PythonVideo
Samuel TaylorIndeedSpeakerMachine Learning Crash CourseVideo
Saul Shanabrook—Speakermetadsl: separating API from executionVideo
Sudheesh Katkam—SpeakerHyperrest: A new Apache Arrow API For High Performance Data Access in PandasVideo
Tailai WenArundoSpeakerADTK: An open-source Python toolkit for anomaly detection in time seriesVideo
Thomas J FanColumbia UniversitySpeakerDo You Want To Build A Forest?Video
Travis E OliphantQuansightSpeakeruarray: Separating interface from implementationVideo

Sources