Data Conference Databasea Query.Farm index
Conference
PyCon (national Python conferences) Data science & ML
Dates
May 12, 2021 – May 18, 2021
Venue
—
Place
—
Format
Online
Status
Past
Attendance
2,650
PyCon US 2021 Highlights: '~2650 attendees participated virtually'
Website
us.pycon.org
Recorded
76 sponsors · 58 speaker appearances
Notes
Online-only. Tutorials May 12-13, conference May 14-15, job fair May 16, sprints May 16-18, 2021. Talks come from the archived schedule at /2021/schedule/ (talks and charlas only, no tutorials or sponsor workshops). No registration prices recorded. Speakers: every talk and charla (Spanish-language track) on the talks schedule, plus individual keynote speakers. Left out: tutorials, sponsor presentations and workshops, posters, lightning talks, summits, open spaces and sprints. Group keynote sessions (the Python Steering Council panel, D&I panel, PSF update) are not listed as speakers. Affiliations come from speaker-profile bios on us.pycon.org, and only where a bio names a current employer or university outright. Otherwise they are null. Video URLs were matched by title against the PyCon US YouTube recordings. Talks with no confident match have null. Sponsor tiers are the PSF sponsorship levels shown on the PyCon US sponsor page.

Ticket prices

No ticket prices recorded

Sponsors 76

Title / headline 3

Platinum 4

Gold 3

Silver 3

Bronze 8

Startup 8

Other 47

Speakers and talks 58

SpeakerCompanyRoleTalkLinks
Akshay SharmaSharecareKeynote—Video
Robert ErdmannRijksmuseumKeynote—Video
Saron YitbarekDiscoKeynote—Video
Adam BreindelCoiledSpeakerDask-SQL: Empowering Pythonistas for Scalable End-to-End Data Engineering and Data ScienceVideo
Alan Yu—SpeakerWhat we learned from Papermill to operationalize notebooksVideo
Alexander Hultnér—SpeakerIntro to Pydantic, run-time type checking for your dataclassesVideo
Alon NirSpotifySpeakerGetting an Edge with Network Analysis with PythonVideo
Anthony ShawDevOpsSpeakerRestarting Pyjion, a general purpose JIT for Python- is it worth it?Video
Benjy Weinberger—SpeakerCreating extensible workflows with off-label use of PythonVideo
Daniel SollisUnisys CorporationSpeaker(Py)Testing the Limits of Machine LearningVideo
Dino Viehland—SpeakerPython Performance at Scale - Making Python Faster at InstagramVideo
Dustin IngramGoogleSpeakerSecure Software Supply Chains for PythonVideo
Emery BergerUniversity of Massachusetts AmherstSpeakerScalene: A high-performance, high-precision CPU + GPU + memory profiler for PythonVideo
Eric Arellano—SpeakerCuándo usar extensiones nativas en Rust: rendimiento accesible y seguroVideo
Francesco TisiotAivenSpeakerEvent-driven applications: Apache Kafka and PythonVideo
Graham BleaneyMetaSpeakerUnexpected Execution: Wild Ways Code Execution can Occur in PythonVideo
Hannah ClineVISIMOSpeakerOptimizing Data Retrieval with Python CeleryVideo
Itamar Turner-Trauring—SpeakerZero to production-ready: a best-practices process for Docker packagingVideo
James Murphy—SpeakerFrom 3 to 300 fps: NES Emulation in Python and CythonVideo
Jenna Conn—SpeakerOptimizing Data Retrieval with Python CeleryVideo
Jeremy PaigeActiveStateSpeakerPackaging Python in 2021Video
John Belmonte—SpeakerYour app is async so take advantage of it for development!Video
Jonathan Striebel—SpeakerUsing Declarative Configs for Maintainable Reproducible CodeVideo
Josh IzaacXanaduSpeakerWhat are quantum computers, and how can we train them in Python?Video
Kevin Kho—SpeakerLarge Scale Data Validation (with Spark and Dask)Video
Luciano RamalhoThoughtworksSpeakerProtocol: the keystone of type hintsVideo
LUIS CONEJOUniversity of WashingtonSpeakerGitHub Classroom: Una herramienta simple para la enseñanza de PythonVideo
Łukasz Langa—SpeakerGenerate buzz with realtime FM audio synthesisVideo
Maggie MossMetaSpeakerGradual Typing in PracticeVideo
María José MenesesUniversity of NariñoSpeakerRestauración de imágenes multiespectrales con GAN: generar imágenes nuevas para parchar las corruptaVideo
MariattaUplightSpeakerOops! I Became an Open Source Maintainer! 😱Video
Marina ShvartzAidocSpeakerTesting stochastic AI models with HypothesisVideo
MarkUnisys CorporationSpeaker(Py)Testing the Limits of Machine LearningVideo
Mauricio Vásquez—SpeakerTracing Distribuido con OpenTelemetryVideo
Meg Ray—SpeakerPython: The Next GenerationVideo
Meredydd LuffAnvilSpeakerWriting Good Documentation for DevelopersVideo
Mike RuberryMetaSpeakerFrom NumPy to PyTorch, A Story of API CompatibilityVideo
Niels Bantilan—SpeakerStatistical Typing: A Runtime Typing System for Data Science and Machine LearningVideo
Nina Zakharenko—SpeakerMore Fun With Hardware and CircuitPython - IoT, Wearables, and more!Video
Patrick DezielUnisys CorporationSpeaker(Py)Testing the Limits of Machine LearningVideo
Paul EverittJetBrainsSpeakerStatic Sites with Sphinx and MarkdownVideo
Rafael Santos—SpeakerEl Zen de Python en españolVideo
Randall HuntPyTorchSpeakerFrom NumPy to PyTorch, A Story of API CompatibilityVideo
Rebecca Bilbro—Speaker(Py)Testing the Limits of Machine LearningVideo
Reuven M. Lerner—SpeakerWhen is an exception not an exception? Using warnings in PythonVideo
SangBin ChoAnyscaleSpeakerData Processing on RayVideo
Sebastiaan Zeeff—SpeakerThe magic of "self": How Python inserts "self" into methods.Video
Shemra Rizzo—SpeakerLearning python during lockdown: a surprising bonding experience with my childVideo
Simon MoAnyscaleSpeakerPatterns of ML Models in ProductionVideo
Simon Prickett—SpeakerNo, Maybe and Close Enough: Using Probabilistic Data Structures in PythonVideo
Susan Shu ChangQuill Game StudiosSpeakerNarrative-focused video games development with Ren'Py, an open source engineVideo
Terri—SpeakerpyKnit: math tools for knittersVideo
the_storm—SpeakerUnexpected Execution: Wild Ways Code Execution can Occur in PythonVideo
Thomas ChenMITSpeakerAprovechando Python y la IA para enfrentar los desafíos del siglo XXI—
Thomas Jewitt—SpeakerAn Introduction to FastAPIVideo
Tobias KohnUniversity of MichiganSpeakerThe Road to Pattern Matching in PythonVideo
Vasu Bhog—SpeakerWhat we learned from Papermill to operationalize notebooksVideo
Yetunde DadaQuantumBlackSpeakerReproducible and maintainable data science code with KedroVideo

Sources