Data Conference Databasea Query.Farm index
Speakers

Florian Wilhelm

Employers on the program

  1. 2019–2026inovex GmbH9 talks

Bluesky: @florianwilhelm.bsky.social

Events8
Conferences2
Talks9
Years active2019–2026
Miles between events1,1258 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • PyData
  • EuroPython

Talks

DateEventConferenceRoleTitleLinks
Jul 13, 2026EuroPython 2026EuroPythontalkThe Problem with None: Sentinel Values and the Semantics of Absence
as inovex GmbH
None is probably the most overloaded value in Python — and often the wrong one. Python quietly depends on sentinel values: None, NotImplemented, Ellipsis,…Show less

None is probably the most overloaded value in Python — and often the wrong one. Python quietly depends on sentinel values: None, NotImplemented, Ellipsis, dataclasses.MISSING.

Video
Apr 14, 2026PyCon DE & PyData 2026PyDatatalkSentinel Values in Python: Semantics, Double Dispatch, and the Limits of Typing
as inovex GmbH
Python relies heavily on special values such as None, NotImplemented, Ellipsis, and dataclasses.MISSING. These values are not incidental: they encode language…Show less

Python relies heavily on special values such as None, NotImplemented, Ellipsis, and dataclasses.MISSING. These values are not incidental: they encode language semantics, enable control flow between objects, and shape API design.

Apr 23, 2025PyCon DE & PyData 2025PyDatatalkWhy Exceptions Are Just Sophisticated Gotos - and How to Move Beyond
as inovex GmbH
"Why Exceptions Are Just Sophisticated Gotos - and How to Move Beyond" explores a common programming tool with a fresh perspective. While exceptions are a key…Show less

"Why Exceptions Are Just Sophisticated Gotos - and How to Move Beyond" explores a common programming tool with a fresh perspective. While exceptions are a key feature in Python and other languages, they share surprising similarities with the notorious goto statement.

Apr 22, 2024PyCon DE & PyData Berlin 2024PyDatapanelCommunity Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
as inovex
PyCon DE & PyData Berlin is volunteer run. This session aims to underscore the significant role that volunteer organization plays in cultivating environments of…Show less

PyCon DE & PyData Berlin is volunteer run. This session aims to underscore the significant role that volunteer organization plays in cultivating environments of authenticity, inclusion, and diversity within tech communities.

Apr 22, 2024PyCon DE & PyData Berlin 2024PyDatatalkStreamlining Python Development: A Guide to a Modern Project Setup
as inovex

Designed for beginners, this presentation demystifies Python project management using Hatch and delves into pyproject.toml for efficient configuration.

Jul 17, 2023EuroPython 2023EuroPythontalkFrom Algorithms to Agendas: A Beginner's Guide to Integer Programming
as inovex GmbH

This talk will provide an introduction to Integer Programming and demonstrate how it can be used for conference scheduling.

Video
Apr 17, 2023PyCon DE & PyData Berlin 2023PyDatatalkWALD: A Modern & Sustainable Analytics Stack
as inovex
The name WALD-stack stems from the four technologies it is composed of, i.e. a cloud-computing Warehouse like Snowflake or Google BigQuery, the open-source data…Show less

The name WALD-stack stems from the four technologies it is composed of, i.e. a cloud-computing Warehouse like Snowflake or Google BigQuery, the open-source data integration engine Airbyte, the open-source full-stack BI platform Lightdash, and the open-source data transformation tool DBT.

Slides
Apr 11, 2022PyCon DE & PyData Berlin 2022PyDatatalkHoney, I shrunk the target variable! Common pitfalls when transforming the target variable and how to exploit transformations.
as inovex GmbH

Honey, I shrunk the target variable! Common pitfalls when transforming the target variable and how to exploit transformations.

Oct 9, 2019PyCon DE & PyData Berlin 2019PyDatatalkAre you sure about that?! Uncertainty Quantification in AI
as inovex

Are you sure about that?! Uncertainty Quantification in AI helps you to decide if you can trust a prediction or rather not.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Cheuk Ting Ho8—2026
Alexander CS Hendorf712026
Valerio Maggio7—2026
Theodore Meynard6—2026
Ines Montani5—2026
Paula Gonzalez Avalos5—2026
Tereza Iofciu5—2026
Mike Müller5—2025
Alejandro Saucedo4—2026
Dr. Juan Orduz4—2026
Dr. Kristian Rother4—2026
Freya Bruhin4—2026
Jannis Lübbe4—2026
Larissa Haas4—2026
Anna-Lena Popkes4—2025

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.