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Conferences / PyData

PyCon DE & PyData Berlin 2019

Oct 9–11, 2019 · Kosmos (Karl-Marx-Allee 131a), Berlin, Germany

Conference
PyData Data science & ML
Dates
Oct 9, 2019 – Oct 11, 2019
Venue
Kosmos (Karl-Marx-Allee 131a)
Place
Berlin, Germany
Format
In person
Status
Past
Attendance
—
Website
2019.pycon.de
Recorded
31 sponsors · 137 speaker appearances
Notes
Joint conference branded 'PyCon DE & PyData Berlin' (PyCon DE plus PyData Berlin), organised by the Python Software Verband e.V. (PySV) with NumFOCUS/PyData; recorded under the berlin suffix. Conference 9-11 Oct at Kosmos; sprints 12-13 Oct at Diconium (Mollstrasse 1). Prices from the archived ti.to shop (Jun 2019; early-bird tiers already sold out, prices not shown). Speakers: full session list from 2019.pycon.de/program; affiliations from the 'Affiliation:' field on each session page.

Ticket prices

TicketPriceValid untilNotesSource
Student (regular)€200—web.archive.org
Student (late bird)€250—web.archive.org
Individual (regular)€350—web.archive.org
Individual (late bird)€400—web.archive.org
Business (regular)€550—Incl. 19% VAT; early-bird tiers sold outweb.archive.org
Business (late bird)€650—Late bird from 31 Aug 2019web.archive.org

Sponsors 31

Speakers and talks 137

SpeakerCompanyRoleTalkLinks
Carla Hustedt—KeynoteAlgo.Rules - How do we get the ethics into the code?—
Łukasz LangaPython Software FoundationKeynotePython 2020+—
Mariatta WijayaZapierKeynotePEP 581 and PEP 588: Migrating CPython's Issue Tracker—
Marie-Louise TimckeFUNKE Zentralredaktion Berlin GmbHKeynoteExtended Ligthning Talks CANCELLED: Crunching Numbers Like a Journalist—
Peter WangAnacondaKeynoteRethinking Open Source in the Era of Cloud & Machine Learning—
Adrin JalaliAnacondaTalkCurrent affairs, updates, and the roadmap of scikit-learn and scikit-learn-contrib—
Aislyn Rose—TalkTake control of your hearing: Accessible methods to build a smart noise filter—
Alessia MarcoliniFondazione Bruno Kessler / University of BristolTalkVersion Control for Data Science—
Alexander CS HendorfKÖNIGSWEGPanelPython Panel—
Alexander CS HendorfKÖNIGSWEGTalkData Literacy for Managers—
Alexander EngelhardtEngelhardt Data Science GmbHTalkInterpretable Machine Learning: How to make black box models explainable—
Alexey GrigorevOLX GroupTalkFighting fraud: finding duplicates at scale—
Amlan Chakraborty—TutorialDecentralized and Privacy-Preserving ML via TensorFlow Federated—
Andrada PumneaFuturiceTalkDoes hate sound the same in all languages?—
Andrea SpichtingerSyskron GmbHTalkTime Series Anomaly Detection for Bottling Machine Maintenance—
Andreas HantschCLOUD&HEAT Technologies GmbHTalkMachine learning with little data - from digital twin to predictive maintenance—
Avaré StewartEOS DID (Otto Group)TalkTransforming a Legacy System into a Bias-Mitigating AI Solution for Debt Repayment—
Bahadir UyarerDelivery HeroTutorialAirflow: your ally for automating machine learning and data pipelines—
Benedikt RudolphLucht Probst AssociatesTalkShould I stay or should I go? Optimal exercise decisions using the Longstaff-Schwartz algorithm—
Benjamin BossanNewYorkerTalkskorch: A scikit-learn compatible neural network library that wraps pytorch—
Caio MiyashiromytaxiTutorialHidden Markov Models for Chord Recognition - Intuition and Applications—
Cheuk Ting Ho—TalkRunning An Open Source Project Like A Start Up—
Chiin-Rui TanRho Zeta AITalkPython-Powered OSINT! Modernising Open Source Intelligence for Investigating Disinformation—
Christian BarraINFARMTutorialKubernetes 101 for Python Developers—
Christian BarraINFARMPanelJob Panel—
Christine SpindlerGeorge Robotics LtdTalkHow MicroPython went into space—
Christoph DeilMPIKTalk10 ways to debug Python code—
Christoph HeerSAPTalkIs it me, or the GIL?—
Corrie BartelheimerEuropace AGTalkA Bayesian Workflow with PyMC and ArviZ—
Dan FritchmanHW21TalkChips Made From Python—
Dânia MeiraAI GuildTalkAvoiding ML FOBO—
Daniel HeinzeMicrosoftTutorialBuild a Machine Learning pipeline with Jupyter and Azure—
Daniel RinglerAncud ITTalkHow to choose better colors for your data visualizations—
Daniel RiosJonas und der WolfTalkOptimizing Input: Building your own customized keyboard—
Dare Imam-LawalRho Zeta AITalkPython-Powered OSINT! Modernising Open Source Intelligence for Investigating Disinformation—
Darina GoldinBayes Esports SolutionsTalkHow strong is my opponent? Using Bayesian methods for skill assessment—
David SchmuddeNextjournalTalkDr. Schmood's Notebook of Python Calisthenics and Orthodontia—
David WölfleFZI Research Center for Information TechnologyTalkLoss Function Theory 101Video
Dmitry NazarovDataArtTalkCANCELLED: Fresh New Pythonic Database: EdgeDB (And Why It's the Future)—
Dom WeldondecisionLabTalkDash: Interactive Data Visualization Web Apps with no Javascript—
Dominik HenterEcosiaTutorialParallel programming for python developers – Let’s Go(lang)—
Dr. Benjamin Werthmannwerthmann.legalTalkLaw, ethics and machine learning – a curious ménage à trois—
Dr. Hendrik NiemeyerRosenTalkDocker and Python - A Match made in Heaven—
Dr. Juan Orduz—TalkGaussian Process for Time Series AnalysisSlides
Dr. Tania AllardMicrosoftTalkPractical DevOps for the busy data scientist—
Dustin IngramGoogleTalkStatic Typing in Python—
Edwin JungQuidTalkMock Hell—
Ellen KönigThoughtworksTalkWant to have a positive social impact as a data scientist?—
Enrica PasquaDelivery HeroTutorialAirflow: your ally for automating machine learning and data pipelines—
Eran FriedmanCommonSense RoboticsTalkBoosting simulation performance with Python—
Eva SchreyerData Science for Social Good Berlin DSSGTalkTackle the problems that really matter - leverage the power of data science in the service of humanity—
Felicia BurtscherTU BerlinTalkCANCELLED: First steps in Julia—
Filipe SilvaFREE NOWTutorialUsing machine learning for Level Generation in Snake (video-game)—
Florian Bruhin—Tutorialpytest - simple, rapid and fun testing with Python—
Florian JetterBlue YonderTalkKartothek – Table management for cloud object stores powered by Apache Arrow and Dask—
Florian Wilhelminovex GmbHTalkAre you sure about that?! Uncertainty Quantification in AI—
Franziska HornTU BerlinTalkAutomated Feature Engineering and Selection in Python—
Gina HäußgeOctoPrintTalkDriving 3D Printers with Python: Lessons Learned—
Gönül AycıBogazici UniversityTalkActive Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems—
Harald BoschNovatecTalkCreating an Interactive ML Conference Showcase—
Hari Kishore SirivellaOpenTable IncTalkMonitoring infrastructure and application using Django, Sensu and Celery.—
Hynek SchlawackVariomedia AGPanelPython Panel—
Ingo StegmaierKÖNIGSWEGTalkDevelopers vs. Enterprise—
Irina Vidal MigallónSiemensTalkUsing adversarial samples to break and robustify your Vision Neural Network Models—
Jacek KołodziejGrowbotsTalkEvent-Sourced Story—
James Powell—TalkTBC—
James WoottonIBMTutorialQuantum computing with Python—
Jan-Benedikt JaguschInstaffo GmbHTalkVisualizing Interactive Graph Networks in Python—
Jannes Quer—TalkTime series modelling with probabilistic programming—
Jeremy TuloupQuantStackTalkA Tour of JupyterLab Extensions—
Jéssica LinsEcosiaTutorialParallel programming for python developers – Let’s Go(lang)—
Johannes Knoppsolute GmbHTalk10 Years of Automated Category Classification for Product Data—
Katharina Rasch—TalkTools that help you get your experiments under control—
Katharina Rasch—PanelJob Panel—
Korbinian KuusistoDalia ResearchTalkLeveraging the advantages of Bayesian Methods to build a data science product using PyMC3—
Lady Red—TalkA Medieval DSL? Parsing Heraldic Blazons with Python—
Lisa Zäuner—TalkTackle the problems that really matter - leverage the power of data science in the service of humanity—
Luciano RamalhoThoughtworksTalkBeyond Paradigms: a new key to grok Python & other languages—
Łukasz LangaPython Software FoundationPanelPython Panel—
Mariana Capinel—TalkWhere Linguistics meets Natural Language Processing—
Marianna DiachukWomen Who Code KyivTalkApplying deployment oriented mindset for building Machine Learning models—
Marianne StecklinaOmniTalkWhy you should (not) train your own BERT model for different languages or domains—
Mariatta WijayaZapierPanelPython Panel—
Martin ChristenFHNWTalkDetecting and Analyzing Solar Panels in Switzerland using Aerial Imagery—
Marysia WinkelsAidenceTalkEquivariance in CNNs: how generalising the weight-sharing property increases data-efficiency—
Matteo Guzzo—PanelJob Panel—
Maximilian EberQuantCoTalkLeveraging ML to obtain fine-grained (yet reliable) causal estimates from A/B tests and experiments—
Mike MüllerPython AcademyTutorialWrite your Own Decorators—
Miroslav Šedivýsolute GmbHTalkYour Name Is Invalid!—
Nelson Mooren—TalkUsing Overhead Video Capture to Analyse Grouping Behaviour of Dancers in a Silent Disco—
Neslihan EdesRuhr-University BochumTalkBirds of a feather flock together - Tracking pigeons with Python and OpenCV—
Nicholas HerriotSamsung ElectronicsTalkUsing Micropython to develop an IoT multimode sensor platform with an Augmented Reality UI—
Noa Tamir—TalkProfessional Development and Career Progression for Data Scientists—
OlgaL1NDATalkGetting started with FPGA with Python—
Oliver BestwalterAviraTalkAbridged metaprogramming classics - this episode: pytest—
Palomaautonomous| part os PyLadies BerlinTalkFrom body and code <programming in times of acceptance>—
Patrick ArminioVerveTalkStrawberry: a dataclasses inspired approach to GraphQL—
Pedro SaleiroFeedzaiTutorialFairness in decision-making with AI: a practical guide & hands-on tutorial using Aequitas—
Peggy Sylopppexlab.spaceTalkTake control of your hearing: Accessible methods to build a smart noise filter—
Peter KairouzGoogleTutorialDecentralized and Privacy-Preserving ML via TensorFlow Federated—
Philipp RudigerAnacondaTalkPanel: Turn any notebook into a deployable dashboard—
Rachel BerrymanAI GuildTalkAvoiding ML FOBO—
Raphael PierzinaMozillaTalkIntroduction to automated testing with pytest—
Roman Yurchak—Talkvtext: text processing in Rust with Python bindings—
Samet AtdagPrisyncTalkWhat we learned from scraping 1 billion webpages every month—
Samuele MaciYelpTalkWhat if I tell you that your specs are broken—
Sander KooijmansProtixTalkHow to write tests that need a lot of data?—
Sandrine PatautQBE InsuranceTutorialGet to grips with pandas and scikit-learn—
Sarah Diot-GirardPeopleDocTalkPrivacy-preserving Machine Learning for text processing—
Sean MatthewsDeloitteTalkTime series modelling with probabilistic programming—
Sebastian NeubauerBlue YonderTalk6 Years of Docker: The Good, the Bad and Python Packaging—
Sieer AngarKÖNIGSWEGPanelJob Panel—
Simon DanischNextjournalTalkJulia for Python—
Simone RobuttiTerakiTalkvenv, pyenv, pypi, pip, pipenv, pyWTF?—
Stefan Behel—PanelPython Panel—
Stefan MaierBlue YonderTalkEmbrace uncertainty! Why to go beyond point estimators for valuable ML applications—
Stefan SchwarzerSSchwarzer.comTalkCommenting code — beyond common wisdom—
Steph SamsonMercedes-BenzTutorialPackage and Dependency Management with Poetry—
Stéphane Wirtelmgx.ioTalkWhat’s new in Python 3.8?—
Tania VasilikiotiBabbelTalkMaking the complex simple in data viz—
Tanmoy BandyopadhyayAricentTutorialAn Introduction to Concurrency and Parallelism using Python Programming Language—
Teresa Ingram—TalkThe Sound of Silence: Online Misogyny and How we Model it—
Tereza IofciumytaxiTalkLessons Learned as a Product Manager in Data Science—
Tereza IofciumytaxiPanelJob Panel—
Thorben JensenInformationsfabrik GmbHTalkAutomating feature engineering for supervised learning? Methods, open-source tools and prospects.Slides
Tilman KrokotschIAV GmbHTalkHide Code, Minimize Dependencies, Boost Performance - The PyTorch JIT—
Tim HoffmannCarl Zeiss SMT GmbHTalkBreak your API gently - or not at all—
Tin MarkovićKiwi.comTalkRefactoring in Python: Design Patterns and Approaches—
Tobias SterbakFreelancer @ depends-on-the-defintionTutorialManaging the end-to-end machine learning lifecycle with MLFlow—
Valentin HaenelAnacondaTutorialCANCELED: Create CUDA kernels from Python using Numba and CuPy.—
Valerio MaggioFondazione Bruno Kessler / University of BristolTutorialDeep Learning for Healthcare with PyTorch—
VaryaZalandoTalk🌈Apache Airflow for beginners—
Vasily KorfJetBrainsTalkAI Intentions and Code Completion—
Vincent WarmerdamGoDataDrivenTalkGaussian Progress—
Yetunde DadaQuantumBlackTalkProduction-level data pipelines that make everyone happy using Kedro—
Yurii TolochkoBASFTalkWhy you don’t see many real-world applications of Reinforcement Learning.—
Yuta KanzawaJanssen Pharmaceutical K.K., Tokyo; Johnson & JohnsonTalkFriend or Foe: Comparison of R & Python in Data Wrangling & Visualisation—

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