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Opening Session
- PyCon Organizers
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Algo.Rules - How Do We Get
The Ethics Into The Code?
- Carla Hustedt
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Get To Grips With Pandas And Scikit-learn
- Sandrine Pataut
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Package And Dependency Management With Poetry
- Steph Samson
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What’s New In Python 3.8?
- Stéphane Wirtel
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Time Series Anomaly Detection
For Bottling Machine Maintenance
- Andrea Spichtinger
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Boosting Simulation Performance With Python
- Eran Friedman
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Visualizing Networks In Python
- Jan-Benedikt Jagusch
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Apache Airflow For Beginners
- Varya Karpenko
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A Medieval DSL? Parsing Heraldic Blazons With Python
- Lady Red
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Time Series Modelling
With Probabilistic Programming
- Marion Cornelia Schwärzler
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Hide Code, Minimize Dependencies,
Boost Performance - The PyTorch JIT
- Tilman Krokotsch
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How To Choose Better Colors
For Your Data Visualizations
- Daniel Ringler
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Practical DevOps For The Busy Data Scientist
- Tania Allard
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Write Your Own Decorators
- Mike Müller
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Deep Learning For Healthcare With PyTorch
- Valerio Maggio
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Play Stupid Games, Win Stupid Prizes
- James Powell
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Fighting Fraud: Finding Duplicates At Scale
- Alexey Grigorev
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Automated Feature Engineering
And Selection In Python
- Franziska Horn
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Where Linguistics Meets
Natural Language Processing
- Mariana Capinel
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How MicroPython Went Into Space
- Christine Spindler
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Julia For Python
- Simon Danisch
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AI Intentions And Code Completion
- Vasily Korf
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Automating Feature Engineering For Supervised
Learning? Methods, Open-source Tools And Prospects.
- Thorben Jensen
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Why You Should (not) Train Your Own BERT
Model For Different Languages Or Domains
- Marianne Stecklina
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Hidden Markov Models For Chord Recognition:
Intuition And Applications
- Caio Miyashiro
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pytest - Simple, Rapid And Fun Testing With Python
- Florian Bruhin
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Applying Deployment Oriented Mindset
For Building Machine Learning Models
- Marianna Diachuk
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vtext: Text Processing In Rust
With Python Bindings
- Roman Yurchak
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Python-Powered OSINT! Modernising Open Source
Intelligence For Investigating Disinformation
- Chiin-Rui Tan and Dare Imam-Lawal
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Developers Vs. Enterprise
- Ingo Stegmaier
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Kartothek - Table Management For Cloud
Object Stores Powered By Apache Arrow And Dask
- Florian Jetter
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Production-Level Data Pipelines That
Make Everyone Happy Using Kedro
- Yetunde Dada
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Privacy-preserving Machine Learning
For Text Processing
- Sarah Diot-Girard
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Creating An Interactive ML Conference Showcase
- Harald Bosch
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Running An Open Source Project Like A Start Up
- Cheuk Ting Ho
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Using Micropython To Develop An IoT Multimode
Sensor Platform With An Augmented Reality UI
- Nicholas Herriot
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PEP 581 And PEP 588:
Migrating CPython's Issue Tracker
- Mariatta Wijaya
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LT: Your Algorithm is Probably Racist
- Victor Zimmermann
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LT: Data Lineage - A Brief History of Data
- Various
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LT: Adversarial Machine Learning
- Alexander Engelhardt
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Lightning Talk 4
- Various
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LT: Python + K8S vs. Sec. Vulnerabilities
- Kenny Casagrande
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LT: Igor and the Holy Grail
- Various
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LT: Try not to say Hey Guys, try to say Hey Beautiful People
- Cheuk Ting Ho
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LT: Cython 3.0
- Stefan Behnel
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LT: Do you know PyCon JP?
- Yuta Kanzawa
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Closing Remarks
- PyCon Organizers
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Morning Announcements
- PyCon Organizers
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Python 2020+
- Łukasz Langa
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Gaussian Progress
- Vincent Warmerdam
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Beyond Paradigms:
A New Key To Grok Python & Other Languages
- Luciano Ramalho
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Docker And Python - A Match Made In Heaven
- Hendrik Niemeyer
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Tools That Help You
Get Your Experiments Under Control
- Katharina Rasch
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Airflow: Your Ally For Automating
Machine Learning And Data Pipelines
- Enrica Pasqua and Bahadir Uyarer
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Are You Sure About That?!
Uncertainty Quantification In AI
- Florian Wilhelm
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Fair And Equitable Decision-making With AI:
A Practical Guide & Hands-on Tutorial Using Aequitas
- Pedro Saleiro
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Gaussian Process For Time Series Analysis
- Juan Orduz
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A Pythonistas Way To Javascript
- Francisca Schlesinger
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6 Years Of Docker:
The Good, The Bad And Python Packaging
- Sebastian Neubauer
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A Tour Of JupyterLab Extensions
- Jeremy Tuloup
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Embrace Uncertainty! Why To Go Beyond
Point Estimators For Valuable ML Applications
- Stefan Maier
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Build A Machine Learning Pipeline
With Jupyter Notebooks And Azure
- Daniel Heinze
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An Introduction To Concurrency And Parallelism
Using Python Programming Language
- Tanmoy Bandyopadhyay
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Equivariance In CNNs: How Generalising The
Weight-sharing Property Increases Data-efficiency
- Marysia Winkels
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Break Your API Gently - Or Not At All
- Tim Hoffmann
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Data Literacy For Managers
- Alexander CS Hendorf
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Want To Have A Positive
Social Impact As A Data Scientist?
- Ellen König
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Dash: Interactive Data Visualization
Web Apps With No Javascript
- Dom Weldon
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Using Adversarial Samples To Break And
Robustify Your Vision Neural Network Models
- Irina Vidal Migallón
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What If I Tell You That Your Specs Are Broken
- Samuele Maci
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Avoiding ML FOBO
- Rachel Berryman and Dânia Meira
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Tackle The Problems That Really Matter - Leverage
The Power Of Data Science In The Service Of Humanity
- Eva Schreyer and Lisa Zäuner
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Panel:
Turn Any Notebook Into A Deployable Dashboard
- Philipp Rudiger
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Kubernetes 101 For Python Developers
- Christian Barra
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Python Panel
- Alexander Hendorf,Hynek Schlawack,Mariatta Wijaya,Łukasz Langa and Stefan Behel
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Birds Of A Feather Flock Together:
Tracking Pigeons With Python And OpenCV
- Neslihan Edes
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skorch: A Scikit-learn Compatible
Neural Network Library That Wraps Pytorch
- Benjamin Bossan
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10 Years Of Automated Category
Classification For Product Data
- Johannes Knopp
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How To Write Tests That Need A Lot Of Data?
- Sander Kooijmans
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Detecting And Analyzing Solar Panels
In Switzerland Using Aerial Imagery
- Martin Christen
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Current Affairs, Updates, And The Roadmap
Of Scikit-learn And Scikit-learn-contrib
- Adrin Jalali
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Dr. Schmood's Notebook Of
Python Calisthenics And Orthodontia
- David Schmudde
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venv, pyenv, pypi, pip, pipenv, pyWTF?
- Simone Robutti
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Quantum Computing With Python
- James Wootton
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Static Typing In Python
- Dustin Ingram
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From Body And Code:
Programming In Times Of Acceptance
- Paloma
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Should I Stay Or Should I Go? Optimal Exercise
Decisions Using The Longstaff-Schwartz Algorithm
- Benedikt Rudolph
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Getting Started With FPGA With Python
- Olga
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Using Overhead Video Capture To Analyse
Grouping Behaviour Of Dancers In A Silent Disco
- Nelson Mooren
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Is It Me, Or The GIL?
- Christoph Heer
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Commenting Code — Beyond Common Wisdom
- Stefan Schwarzer
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Active Learning With Bayesian Nonnegative
Matrix Factorization For Recommender Systems
- Gönül Aycı
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Chips Made From Python
- Dan Fritchman
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How Strong Is My Opponent?
Using Bayesian Methods For Skill Assessment
- Darina Goldin
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NumFocus Q&A
- Various
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LT: How to get more followers on Instagram while sleeping
- Ibrahim
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LT: PyCon Turkey
- Gönül Aycı
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LT: PILasOPENCV
- Andreas Bunkahle
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LT: Shortcut conference
- Various
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LT: Miroslav Šedivý - Keyboard Layouts
- Various
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LT: Benedikt Rudolph - Gott's Principle
- Various
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LT: What we do with satellite images
- Nicolas Holland
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LT: Datenguide
- Konrad
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LT: UI dev made easy
- Cristián Maurer
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LT: What the Clock
- Christian Grossmüller
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LT: Your Regional PyData Needs You
- Various
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LT: Teaching and Learning
- Dan Fritchman
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LT: There be dragons
- Jan Diepenbrock
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LT: Digital History with Python
- Giuditta Parolini
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LT: GeoPython 2020
- Martin Christen
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Morning Announcements
- PyCon Organizers
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Rethinking Open Source In The
Era Of Cloud & Machine Learning
- Peter Wang
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Law, Ethics And Machine Learning:
A Curious Ménage À Trois
- Benjamin Werthmann
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Introduction To Automated Testing With Pytest
- Raphael Pierzina
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Why You Don’t See Many Real-world
Applications Of Reinforcement Learning
- Yurii Tolochko
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Version Control For Data Science
- Alessia Marcolini
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Managing The End-To-End
Machine Learning Lifecycle With MLFlow
- Tobias Sterbak
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Transforming A Legacy System Into A
Bias-Mitigating AI Solution For Debt Repayment
- Avaré Stewart
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Strawberry:
A Dataclasses Inspired Approach To GraphQL
- Patrick Arminio
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Abridged Metaprogramming Classics
This Episode: Pytest
- Oliver Bestwalter
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Loss Function Theory 101
- David Wölfle
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Monitoring Infrastructure And Application
Using Django, Sensu And Celery
- Hari Kishore Sirivella
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Decentralized And Privacy-Preserving ML
Via TensorFlow Federated
- Peter Kairouz
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Parallel Programming For
Python Developers – Let’s Go(lang)
- Dominik Henter and Jéssica Lins
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Q&A With Peter Wang
- Peter Wang
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What’s New In Python 3.8?
- Stéphane Wirtel
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What We Learned From Scraping
1 Billion Webpages Every Month
- Samet Atdag
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Optimizing Input:
Building Your Own Customized Keyboard
- Daniel Rios
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Professional Development And
Career Progression For Data Scientists
- Noa Tamir
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Leveraging The Advantages Of Bayesian Methods
to Build A Data Science Product Using PyMC3
- Korbinian Kuusisto
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A Medieval DSL? Parsing Heraldic Blazons With Python
- Lady Red
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Driving 3D Printers With Python:
Lessons Learned
- Gina Häußge
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Your Name Is Invalid!
- Miroslav Šedivý
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Lessons Learned As A
Product Manager In Data Science
- Tereza Iofciu
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A Bayesian Workflow With PyMC And ArviZ
- Corrie Bartelheimer
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Using Machine Learning For
Level Generation In Video-games
- Filipe Silva
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Job Panel: Freelancing / Academia To Industry
- Various
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Does Hate Sound The Same In All Languages?
- Andrada Pumnea
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Interpretable Machine Learning:
How To Make Black Box Models Explainable
- Alexander Engelhardt
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Machine Learning With Little Data:
From Digital Twin To Predictive Maintenance
- Andreas Hantsch
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Friend Or Foe: Comparison Of R & Python
In Data Wrangling & Visualisation
- Yuta Kanzawa
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The Sound of Silence:
Online Misogyny And How We Model It
- Teresa Ingram
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Event-Sourced Story
- Jacek Kołodziej
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Take Control Of Your Hearing:
Accessible Methods To Build A Smart Noise Filter
- Peggy Sylopp and Aislyn Rose
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Making The Complex Simple In Data Viz
- Tania Vasilikioti
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Sprint Orientation
- Various
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LT: Fast GUIs with PyQTGraph
- Christoph Rose
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LT: Group Identity
- Filipa
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Lightning Talk 27
- Various
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Lightning Talk 28
- Various
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LT: krrp - A functional, turing complete esolang
- Jonathan Frech
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DjangoGirls Berlin
- Lisa Quatmann
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Closing Session
- PyCon Organizers
