Conferences / PyData
PyCon DE & PyData Berlin 2022
Apr 11–13, 2022 · bcc Berlin Congress Center, Berlin, Germany
- Conference
- PyData Data science & ML
- Dates
- Apr 11, 2022 – Apr 13, 2022
- Venue
- bcc Berlin Congress Center
- Place
- Berlin, Germany
- Format
- Hybrid
- Status
- Past
- Attendance
- 1,100Organiser blog (27 Mar 2022, in-person sold out): 'We expect 1100 attendees in person and 400 online already.' Expected figure, not a final count.
- Website
- 2022.pycon.de
- Recorded
- 37 sponsors · 123 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. Hybrid (in-person plus online tickets). Speakers: full session list from 2022.pycon.de/program; affiliations from the 'Affiliation:' field on each session page.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Online Student (regular) | €50 | — | 2022.pycon.de | |
| Online Individual (regular) | €90 | — | 2022.pycon.de | |
| Online Business (regular) | €190 | — | 2022.pycon.de | |
| In-person Student (regular) | €200 | — | 2022.pycon.de | |
| In-person Student (late bird) | €250 | — | 2022.pycon.de | |
| In-person Individual (regular) | €350 | — | 2022.pycon.de | |
| In-person Individual (late bird) | €450 | — | 2022.pycon.de | |
| In-person Business (regular) | €550 | — | Regular price for the first 600 tickets; incl. 19% VAT | 2022.pycon.de |
| In-person Business (late bird) | €700 | — | 2022.pycon.de |
Sponsors 37
Title / headline 2
- Anaconda · Keystone
- Delivery Hero · Diamond
Community 8
- Data Umbrella · Community Partners
- Hacker School · Community Partners
- proTechnicale · Community Partners
- PyData Frankfurt · Community Partners
- PyData Südwest · Community Partners
- PyLadies · Community Partners
- Technovation Girls Germany · Community Partners
- Under Pressure · Community Partners
Other 5
- Django Software Foundation · Diversity & Financial Aid Sponsors
- EuroPython Society · Diversity & Financial Aid Sponsors
- LAVRIO.solutions GmbH · Diversity & Financial Aid Sponsors
- Python Academy · Diversity & Financial Aid Sponsors
- Python Software Foundation · Diversity & Financial Aid Sponsors
Speakers and talks 123
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christian Heimes | Red Hat | Keynote | Python 3.11 in the Web Browser - A Journey | — |
| Melissa Weber Mendonça | Quansight | Keynote | Beyond the basics: Contributor experience, diversity and culture in open source projects | — |
| Reshama Shaikh | Data Umbrella | Keynote | 5 Years, 10 Sprints, A scikit-learn Open Source Journey | — |
| Adam Serafini | Delivery Hero | Sponsor | Speeding up Python with Zig | — |
| Adrian Boguszewski | Intel | Sponsor | Optimize your network inference time with OpenVINO | — |
| Alejandro Saucedo | The Institute for Ethical AI & Machine Learning | Talk | Secure ML: Automated Security Best Practices in Machine Learning | — |
| Aleksander Molak | Tensorcell | Tutorial | Practical graph neural networks in Python with TensorFlow and Spektral | — |
| Alena Guzharina | JetBrains | Sponsor | Overcoming 5 Hurdles to Using Jupyter Notebooks for Data Science, by the JetBrains Datalore Team | — |
| Alexander CS Hendorf | Alexander C.S. Hendorf AI Strategy Advisory | Talk | 5 Things You Want to Know About AI Adoption in the Enterprise | — |
| Alexandra Wörner | scieneers | Talk | A data scientist's guide to code reviews | — |
| Andre Fröhlich | Quoniam Asset Management GmbH | Talk | How to build a Python-based Research Cloud Platform from scratch | — |
| Andreu Mora | Adyen | Sponsor | Unsupervised shallow learning for fraud detection on marketplaces | — |
| Antoine Toubhans | Sicara | Talk | Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit | — |
| Asya Frumkin | Evinced | Talk | Can you Read This? (Or: how I Improved Text Readability on the Web for the Visually Impaired) | — |
| Bas Steins | bas.codes | Talk | Advanced Django ORM | — |
| Bettina Heinlein | HITS (Heidelberg Institute for Theoretical Studies) | Talk | Challenge Accepted - How to Escape the Quicksand While Engineering a Computer Vision Application | — |
| Cheuk Ting Ho | TerminusDB | Talk | Trojan Source Malware - Can we trust open-source anymore? | Slides |
| Christian Bourjau | QuantCo | Talk | Making Machine Learning Applications Fast and Simple with ONNX | — |
| Christopher Lennan | idealo internet GmbH | Talk | Transformer based clustering: Identifying product clusters for E-commerce | — |
| Coen de Groot | — | Talk | The Magic of Python Objects | — |
| Daniel Ringler | DB Systel GmbH | Talk | Sankey Plots with Python | — |
| Daniël Willemsen | GoDataDriven | Sponsor | How a simple streamlit dashboard will help to put your machine learning model in production | — |
| Dario Cannone | — | Talk | Unclear Code Hurts | — |
| David | Iterative | Tutorial | Making MLOps uncool again | — |
| David Melamed | Jit | Talk | Forget Mono vs. Multi-Repo - Building Centralized Git Workflows with Python | — |
| Dom Weldon | Decision Inc | Talk | Forget ‘web 3.0’, let's talk about ‘web 0.0’. A brief history of the Internet, and the World Wide Web. | — |
| Dr. Hannah Bohle | indblik.io | Talk | Come as you are: Transitioning from Science to Data Science | — |
| Dr. Jakob Sauer Jørgensen | Technical University of Denmark | Talk | Easy and flexible imaging with the Core Imaging Library | — |
| Dr. Juan Orduz | — | Talk | Introduction to Uplift Modeling | — |
| Dr. Kristian Rother | Freelance | Tutorial | Refactoring | — |
| Dr. Setareh Sadjadi | Diconium GmbH | Talk | Do we really need Data Scientists? | — |
| Dr. Thomas Wollmann | Merantix AG | Talk | Squirrel - Efficient Data Loading for Large-Scale Deep Learning | — |
| Efe Öge | Hipo | Talk | It is all about files and HTTP | — |
| Emeli Dral | Evidently AI | Talk | Detecting drift: how to evaluate and explore data drift in machine learning systems | — |
| Emily Gorcenski | — | Panel | Career Panel | — |
| Florian Bruhin | Bruhin Software | Tutorial | pytest - simple, rapid and fun testing with Python (3 hours) | — |
| Florian Wilhelm | inovex | Talk | Honey, I shrunk the target variable! Common pitfalls when transforming the target variable and how to exploit transformations. | — |
| Franz Kiraly | — | Tutorial | sktime - python toolbox for time series: advanced forecasting - probabilistic, global and hierarchical | — |
| Gajendra Deshpande | KLS Gogte Institute of Technology, India | Talk | Securing Django Applications | — |
| Gatha | Amity University, Noida | Talk | Do I need to be Dr. Frankenstein to create real-ish synthetic data? | — |
| Gina Häußge | OctoPrint | Talk | How to deal with toxic people | — |
| Gönül Aycı | Utrecht University | Talk | You shall not share! | — |
| Grigory Petrov | Evrone | Talk | "Easy Python": lies, damned lies, and metaclasses | — |
| Guido Imperiale | Coiled | Talk | Introducing the Dask Active Memory Manager | — |
| Guillaume Lemaitre | Inria | Tutorial | Inpsect and try to interpret your scikit-learn machine-learning models | — |
| Helena Schmidt | — | Talk | Rewriting your R analysis code in Python | — |
| Illia Babounikau | Blue Yonder | Sponsor | My forecast is better than yours! What does that even mean? | — |
| Jacopo Farina | Flixbus | Sponsor | Using a database in a data science project - Lessons learned in production | — |
| Jaime Rodríguez-Guerra | Quansight | Talk | conda-forge: supporting the growth of the volunteer-driven, community-based packaging project | — |
| James Hayward | — | Tutorial | (Serious) Time for Time Series | — |
| Jan-Benedikt Jagusch | QuantCo | Talk | Making Machine Learning Applications Fast and Simple with ONNX | — |
| Janis Meyer | self employed | Talk | deepdoctection - An open source package for document intelligence | — |
| Jannis Grönberg | Kineo.ai | Talk | Battle of Pipelines - who will win python orchestration in 2022? | — |
| Jannis Leidel | Anaconda, conda-forge, PSF, PyPA | Talk | conda-forge: supporting the growth of the volunteer-driven, community-based packaging project | — |
| Jannis Lübbe | Rosen | Talk | Web based live visualisation of sensor data | — |
| Jean-Luc Stevens | Anaconda | Sponsor | Seeing the needle AND the haystack: single-datapoint selection for billion-point datasets | — |
| Jeremy Tuloup | QuantStack | Talk | JupyterLite: Jupyter ❤️ WebAssembly ❤️ Python | — |
| Jessica Greene (she/her) | Ecosia | Panel | Python for Everyone - PyLadies' Insights Panel Discussion | — |
| Jessica Greene (she/her) | Ecosia | Tutorial | We know what your app did last summer. Do you? Observing Python applications using Prometheus. | — |
| Joey Faulkner | Green Fusion | Talk | Introduction to OPC-UA and industrial IoT: Liberate machines from the proprietary clutches of Big Hardware with the power of opcua-asyncio | — |
| Jonathan Oberländer | solute GmbH | Talk | Building an ORM from scratch | — |
| Jonathan Striebel | scalable minds GmbH | Talk | 5 Steps to Speed Up Your Data-Analysis on a Single Core | — |
| Jordi Smit | GoDataDriven | Talk | Slack bots 101: An introduction into slack bot-based workflow automation | — |
| Joris Van den Bossche | Voltron Data | Talk | On Blocks, Copies and Views: updating pandas' internals | — |
| Julia Ostheimer | Kineo.ai | Tutorial | ML Communication 101: How to talk about Machine Learning with anyone | — |
| Jürgen Gmach | Canonical | Talk | How to Find Your Way Through a Million Lines of Code | — |
| Katharina Rasch | freelance | Talk | Fundamentals of relational databases | — |
| Katharine Jarmul | — | Panel | Career Panel | — |
| Kilian Kluge | XAI-Studio & Inlinity AI | Talk | Grokking LIME: How can we explain why an image classifier "knows" what’s in a photo without looking inside the model? | — |
| Larissa Haas | sovanta AG | Talk | XAI meets Natural Language Processing | — |
| Laysa Uchoa | Aiven | Talk | Python 3.10: Welcome to pattern matching! | — |
| Lina Weichbrodt | DKB | Talk | What I learned from monitoring more than 30 Machine Learning Use Cases | — |
| Maarten Huijsmans | InvestSuite | Sponsor | 5 Things we've learned building large APIs with FastAPI | — |
| Maria Mestre | DataQA | Talk | Efficient data labelling with weak supervision | — |
| Marianne Stecklina | Omni | Talk | jsonargparse - Say goodbye to configuration hassles | — |
| Marielle Dado | — | Panel | Career Panel | — |
| Mark Smith | MongoDB | Talk | Stupid Things I've Done With Python | — |
| Marlene Hense | mobile.de | Sponsor | A Smooth Ride: Online Car Buying and Selling at mobile.de | — |
| Martin Christen | FHNW | Talk | Creating 3D Maps using Python | — |
| Marysia Winkels | GoDataDriven | Tutorial | (Serious) Time for Time Series | — |
| Matteo Guzzo | — | Panel | Career Panel | — |
| Maxim Danilov | — | Talk | "Easy Python": lies, damned lies, and metaclasses | — |
| Maxime Liquet | Anaconda | Tutorial | Easily build interactive plots and apps with hvPlot | — |
| Mike Müller | Python Academy | Tutorial | Aspect-oriented Programming - Diving deep into Decorators | — |
| Miroslav Šedivý | Trayport | Talk | There Are Python 2 Relics in Your Code | — |
| Paolo Melchiorre | 20tab | Talk | Make the most of Django | — |
| Patrick Schemitz | — | Talk | Building an ORM from scratch | — |
| Paula Gonzalez Avalos | SPICED Academy | Talk | Your data, your insights: creating personal data projects to (re-)own the data you share | — |
| Philipp Rudiger | Anaconda | Tutorial | Easily build interactive plots and apps with hvPlot | — |
| Philipp Stephan | mediaire | Talk | Quitting pip: How we use git submodules to manage internal dependencies that require fast iteration | — |
| Prabhant Singh | TU Eindhoven/OpenML | Tutorial | Reproducible machine learning and science with python | Slides |
| Ricardo Kawase | mobile.de | Sponsor | A Smooth Ride: Online Car Buying and Selling at mobile.de | — |
| Richard Pelgrim | Coiled | Tutorial | Data Science at Scale with Dask | — |
| Riya Bansal | Microsoft | Talk | Impact of Cultivating a Diverse and Inclusive Workplace | — |
| Sara Jakša | LeanIX | Talk | But this is an OAuth, is it not? | — |
| Sebastiaan Zeeff | Ordina | Talk | Demystifying Python's Internals: Diving into CPython by implementing a pipe operator | — |
| Sebastian Cattes | INWT Statistics | Talk | Performing Content: Can NLP and Deep Learning algorithms predict reader preferences? | — |
| Sebastian Wanner | idealo internet GmbH | Talk | Transformer based clustering: Identifying product clusters for E-commerce | — |
| Shir Meir Lador | Intuit | Talk | The secret sauce of data science management | — |
| Shivam Singhal | — | Talk | Upgrade your Documentation to the Next Level | — |
| Sieer Angar | KÖNIGSWEG | Panel | Career Panel | — |
| sonam | Saama | Talk | Biases in Language Models | — |
| Stefan Behnel | — | Talk | Fast native data structures: C/C++ from Python | — |
| Stefanie Stoppel | inovex | Talk | The Myth of Neutrality: How AI is widening social divides | — |
| Stephannie Jimenez Gacha | Quansight | Talk | Data Apis: Standardization of N-dimensional arrays and dataframes | — |
| Steven Kolawole | — | Talk | Building a Sign-to-Speech prototype with TensorFlow, Pytorch and DeepStack: How it happened & What I learned | — |
| Sylvain Marié | Schneider Electric | Talk | `python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn | — |
| T-Berger | Datamics GmbH | Talk | Financial Portfolio Management with Deep Reinforcement Learning | — |
| Tanmoy Bandyopadhyay | Capgemini | Tutorial | An Introduction to Inter Process Communication and Synchronization using Python | — |
| Tarek Mehrez | Klarna | Talk | Navigating the limitations of Python’s concurrency model in web services | — |
| Theodore Meynard | GetYourGuide | Talk | What are data unit tests and why we need them | — |
| Tilman Krokotsch | IAV | Talk | How to Trust Your Deep Learning Code | — |
| Tobias Heintz | alcemy GmbH | Talk | The state of DevOps for Python projects | — |
| Tobias Hoinka | scieneers | Talk | Predictive Maintenance and Anomaly Detection for Wind Energy | — |
| Tobias Sterbak | — | Tutorial | Introduction to MLOps with MLflow | — |
| Torsten Zielke | moguru GmbH | Tutorial | Faster Workflow with Testdriven Development | — |
| Travis Hathaway | — | Talk | Processing Open Street Map Data with Python and PostgreSQL | — |
| Vaggelis Papoutsellis | Science and Technology Facilities Council, UK Research and Innovation | Talk | Easy and flexible imaging with the Core Imaging Library | — |
| Valerio Maggio | University of Washington | Tutorial | PPML: Machine Learning on Data you cannot see | — |
| Vanessa Aguilar | Ecosia | Tutorial | We know what your app did last summer. Do you? Observing Python applications using Prometheus. | — |
| Welmoet Verbaan | bol.com | Sponsor | How a simple streamlit dashboard will help to put your machine learning model in production | — |
| Wolf Vollprecht | QuantStack | Talk | conda-forge: supporting the growth of the volunteer-driven, community-based packaging project | — |
| Yunus Emrah Bulut | Karlsruhe Institute of Technology | Talk | Machine Learning Testing Ecosystem of Python | — |