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Conferences / PyData

PyData New York City 2019

Nov 4–6, 2019 · Microsoft Conference Center, Times Square (11 Times Square), New York, NY, United States

Conference
PyData Data science & ML
Dates
Nov 4, 2019 – Nov 6, 2019
Venue
Microsoft Conference Center, Times Square (11 Times Square)
Place
New York, NY, United States
Format
In person
Status
Past
Attendance
—
No headcount published; the event page said conference tickets were sold out.
Website
pydata.org
Recorded
25 sponsors · 116 speaker appearances
Notes
Hosted by Microsoft. Speakers: all talks, tutorials, panels and keynotes from the schedule (sprints and unconference slots omitted); affiliations only where the speaker profile on pydata.org states a current employer/university. Video URLs matched from the PyData YouTube playlist "PyData NYC 2019". Ticket prices not found (Wayback Machine unreachable during research).

Ticket prices

No ticket prices recorded

Sponsors 25

Speakers and talks 116

SpeakerCompanyRoleTalkLinks
Anne BauerThe New York TimesKeynoteData science at The New York Times: a mission-driven approach to personalizing the customer journeyVideo
Chris WigginsThe New York TimesKeynoteData science at The New York Times: a mission-driven approach to personalizing the customer journeyVideo
Kelly JinCity of New York, Mayor’s Office of Data AnalyticsKeynoteA Few Good Public Servants: How Great Analysis Inspires ActionVideo
Sara SeagerMassachusetts Institute of TechnologyKeynoteStars, Planets, and PythonVideo
Aditi KhullarTwo SigmaSpeakerIntroduction to Language ModelingVideo
Aditya Lahiri—SpeakerDealing With Imbalanced Classes in Machine LearningVideo
Agata SumowskaThoughtworksSpeakerRole playing Annotation workshopVideo
Akos Furton—SpeakerProduction Code in Data Science ConsultingVideo
Alex Egg—SpeakerDiscover your latent food graph with this 1 weird trickVideo
Allen DowneyOlin CollegeSpeakerThe Inspection Paradox is EverywhereVideo
Amanda MoranDatabricksSpeakerPandas vs Koalas: The Ultimate Showdown!Video
Anthony ScopatzQuansightSpeakerStump the Chump—
Anthony ScopatzQuansightSpeakerConda-press, or Reinventing the WheelVideo
Anthony ScopatzQuansightSpeakerWhat's now in NumFOCUS projects? (Part 2)—
Bhargav Srinivasa DesikanUniversity of WashingtonSpeakerRole playing Annotation workshopVideo
Bill LynchNeuroFlowSpeakerBringing mental health data to doctorsVideo
Breck Baldwin—SpeakerIntroduction to Bayesian Modeling with Stan: No Statistics Background Required—
Brian Austin—SpeakerHow and why to put your Jupyter notebooks in Docker containers—
Bryan Cross—PanelistPanel Discussion: My First Open Source Contribution—
Bryan Van de Ven—SpeakerWhat's now in NumFOCUS projects? (Part 2)—
Cameron Davidson-PilonUniversity of GuelphSpeakerNew Trends in Estimation and InferenceVideo
Carlos Afonso—SpeakerVisualizing the 2019 Measles Outbreak in NYC (with Python)Video
Chaya D SternWeill Cornell Medicine - Population Health SciencesSpeakerUsing Graph Nets (GNs) to predict molecular propertiesVideo
Chris FonnesbeckNew York YankeesPanelistPanel Discussion: My First Open Source Contribution—
Chris FonnesbeckNew York YankeesSpeakerA Primer on Gaussian Processes for Regression AnalysisVideo
Christian Steiner—SpeakerImprove the efficiency of your Big Data applicationVideo
Colin Carroll—SpeakerBuilding a maintainable plotting libraryVideo
Colin Carroll—SpeakerWhat's now in NumFOCUS projects? (Part 1)—
Daniel RodriguezRStudioSpeakerEffective Python and R collaborationVideo
David Palaitis—PanelistPanel Discussion: Pitching Open Source Up Your Management Chain—
Debra Williams Cauley—SpeakerDiscussion: What’s Missing in Python and Data Online Resources?—
Deepyaman DattaQuantumBlackSpeakerNew and Upcoming—
Diego Torres QuintanillaTwo SigmaSpeakerCleaning, optimizing and windowing pandas with numbaVideo
Emily A RayGrubhubSpeakerDiscover your latent food graph with this 1 weird trickVideo
Eric DillAnacondaSpeakerIs Spark still relevant? Multi-node CPU and single-node GPU workloads with Spark, Dask and RAPIDS.Video
Ethan Rosenthal—SpeakerTime series for scikit-learn peopleVideo
Eugene TangTwo SigmaSpeakerIntroduction to Language ModelingVideo
Evan PattersonStanford UniversitySpeakerSemantic modeling of data science codeVideo
Ferras HamadNetflixSpeakerReproducibility in ML Systems: A Netflix OriginalVideo
Francesc Alted—SpeakerWhat's now in NumFOCUS projects? (Part 1)—
Francesc Alted—SpeakerImprove the efficiency of your Big Data applicationVideo
Gil Forsyth—PanelistPanel Discussion: Pitching Open Source Up Your Management Chain—
Hannah Aizenman—SpeakerWhat's now in NumFOCUS projects? (Part 2)—
Hannah Aizenman—SpeakerBuilding a maintainable plotting libraryVideo
Hillary Green-LermanLookerSpeakerHow to Prove You’re Right: A/B Testing with SciPyVideo
Hillary Green-LermanLookerSpeakerHacking the Data Science ChallengeVideo
Hyonjee JooTwo SigmaSpeakerSpark Backend for Ibis: Seamless Transition Between Pandas and SparkVideo
Ian WhalenQuantumBlackSpeakerImplementing Lightweight Random Indexing for Polylingual Text ClassificationVideo
Itamar Turner-Trauring—SpeakerSmall Big Data: using NumPy and Pandas when your data doesn't fit in memoryVideo
Jacqueline GutmanFlatiron HealthSpeakerSimplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming ApproachVideo
James Powell—SpeakerSloth & ENVyVideo
James Powell—SpeakerPyData Pop Quiz—
Jeff RebackTwo SigmaSpeakerIntroduction to pandasVideo
Jenny Turner-Trauring—SpeakerWorking with Maps: Extracting Features for Traffic Crash InsightsVideo
Jens Fredrik SkogstromKolonial.noSpeakerWhat we learned by running a large custom Bayesian forecasting model in productionVideo
Jessica TylerHelloFreshSpeakerGeo Experiments and CausalImpact in Incrementality TestingVideo
Joe JevnikQuantopianSpeakerZarr vs. HDF5Video
Joseph KearneyMillennium ManagementSpeakerNew and Upcoming—
Joshua FalkCivis AnalyticsSpeakerGenerating realistic, differentially private data sets using GANsVideo
Julia SignellAnacondaSpeakerData-centric exploration using intake, dask, hvplot, datashader, panel, and binderVideo
Julia SignellAnacondaPanelistPanel Discussion: My First Open Source Contribution—
Kamal AbdelrahmanBrooklyn College (CUNY)SpeakerPainting A Picture of Public DataVideo
Katherine KampfMicrosoftSpeakerBuild an AI-powered Pet Detector in Visual Studio CodeVideo
Keith KrausNVIDIASpeakerHigh-Performance Data Science at Scale with RAPIDS, Dask, and GPUsVideo
Kelly ShenEtsySpeakerJulia for PythonistasVideo
Kevin FlemingBloombergPanelistPanel Discussion: Pitching Open Source Up Your Management Chain—
Lara KattanMetisSpeakerMachine learning from scratch using the scientific Python stack—
Lauren OldjaSparkBeyondSpeakerManaging Stakeholders: The Key to Successful Data Science for BusinessVideo
Laurence Warner—SpeakerRole playing Annotation workshopVideo
Lev Konstantinovskiy—SpeakerRole playing Annotation workshopVideo
Li JinTwo SigmaSpeakerSpark Backend for Ibis: Seamless Transition Between Pandas and SparkVideo
Maciej WojtonBloombergSpeakerFree Your Esoteric Data Using Apache Arrow and PythonVideo
Malaika Handa—SpeakerColorism in High Fashion (featuring: K-Means Clustering)Video
Marc Garcia—SpeakerIntroduction to pandasVideo
Marianne HoogeveenBowery FarmingSpeakerThe physics of deep learning using tensor networksVideo
Mariel FrankCodecademySpeakerIntroduction to NLPSlidesVideo
Marius van NiekerkFlatiron HealthSpeakerA How-to guide for migrating legacy data applicationsVideo
Martin HirzelIBMSpeakerType-Driven Automated Learning with LaleVideo
Matti LyraComtravoSpeakerNeural Networks for Natural Language ProcessingVideo
Meghan HeintzRent the RunwaySpeakerLaunching a new warehouse with SimPy at Rent the RunwayVideo
Michael JohnsHelloFreshSpeakerPropensity Score Matching: A Non-experimental Approach to Causal InferenceVideo
Michal Mucha—SpeakerSwiftly turn Jupyter notebooks into pretty web apps—
Michoel SnowBarkBoxSpeakerHow to Prove You’re Right: A/B Testing with SciPyVideo
Michoel SnowBarkBoxSpeakerHacking the Data Science ChallengeVideo
Mike McCartyCapital OnePanelistPanel Discussion: Pitching Open Source Up Your Management Chain—
Mitzi Morris—SpeakerBayesian Inference for Fun and ProfitVideo
Moussa TaifiXandrSpeakerClean Machine Learning Code: Practical Software Engineering Principles for ML CraftsmanshipVideo
Noam RossEcoHealth AllianceSpeakerBuilding Software and Communities With Peer ReviewVideo
Parin Choganwala—SpeakerDiscover your latent food graph with this 1 weird trickVideo
Patrick LandremanSpry HealthSpeakerA Crash Course in Applied Linear AlgebraVideo
Paul Ganssle—SpeakerStump the Chump—
Petr WolfBarclaysSpeakerFrom Raw Recruit Scripts to Perfect Python (in 90 minutes)Video
Piero FerranteAetnaSpeakerShould I develop my own DS library? Maybe.Video
Ralf GommersQuansightSpeakerWhat's now in NumFOCUS projects? (Part 1)—
Raman TehlanSRM UniversitySpeakerGenetic algorithms: Making errors do all the work—
Raoul-Gabriel UrmaCambridge SparkSpeakerAdvanced Software Testing for Data ScientistsVideo
Raphaël MeudecSicaraSpeakertf-explain: Interpretability for Tensorflow 2.0Video
Rohit KapurFlatiron HealthSpeakerA How-to guide for migrating legacy data applicationsVideo
Romain CledatNetflixSpeakerEvery ML Model Deserves To Be A Full Micro-serviceVideo
Ryan Abernathey—SpeakerWhat's now in NumFOCUS projects? (Part 1)—
Samuel RochetteOcto TechnologySpeakerQuantifying uncertainty in machine learning modelsVideo
Saul Shanabrook—SpeakerSame API, Different ExecutionVideo
Sean LawTD AmeritradeSpeakerNew and Upcoming—
Stanley van der MerweBarclaysSpeakerFrom Raw Recruit Scripts to Perfect Python (in 90 minutes)Video
Steve DowerMicrosoftPanelistPanel Discussion: My First Open Source Contribution—
Steve DowerMicrosoftSpeakerThe Secret Life of PythonVideo
Tamar YastrabYeshiva UniversitySpeakerThe Echo-Chamber of Your Social Media FeedVideo
Thomas CaswellBrookhaven National LaboratorySpeakerBuilding a maintainable plotting libraryVideo
Thomas CaswellBrookhaven National LaboratorySpeakerStump the Chump—
Thomas J FanColumbia UniversitySpeakerWhat's now in NumFOCUS projects? (Part 2)—
Thomas J FanColumbia UniversitySpeakerDeep Dive into scikit-learn's HistGradientBoosting Classifier and RegressorVideo
Tom AugspurgerAnacondaSpeakerIntroduction to pandasVideo
Tom AugspurgerAnacondaSpeakerScalable Machine Learning with DaskVideo
Veronica Hanus—SpeakerTo comment or notVideo
Will KurtWayfairSpeakerAn Introduction to Probability and StatisticsVideo
Yuanqing WangWeill Cornell Medicine - Population Health SciencesSpeakerUsing Graph Nets (GNs) to predict molecular propertiesVideo

Sources