PyData Südwest April (Karlsruhe)

We are happy to announce another exciting meetup, all about Jupyter:

Workflow mit Jupyter Lab - Nico Kreiling (Inovex)
JupyterHub and Jupyter Notebook – A View Under the Hood - Jürgen Hermann (1&1)

PyData is all about exchange of knowledge and ideas so apart from two talks there will be plenty of room to talk and interact with other attendees.
Lightning talks welcome! Please reach out if you want to give one: python@koeningsweg.com

Space is limited, please do register responsibly.

Thanks a lot to the speakers, Königsweg (https://www.koenigsweg.com) for organizing and CyberForum e.V. for hosting this PyData Karlsruhe.

This event will be in English. If you have any questions or suggestions, please feel free to ping us via meetup or python@koeningsweg.com or join our Telegram group:
https://t.me/PyDataSW

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Agenda

17:45
Doors open

18:10
Welcome and Community Announcements
Alexander CS Hendorf (KÖNIGSWEG) and CyberForum e.V.

18:20
Workflow mit Jupyter Lab
Nico Kreiling (Inovex) [https://twitter.com/nicokreiling]

Jupyter Lab ist die Re-Implementierung der beliebten Jupyter Notebooks und bietet neben einem modernem, aufgeräumten Frontend zahlreiche neue Funktionen für einen verbesserten Workflow. Eine flexible Fensterverwaltung verspricht mehr Übersicht und die neue Plug-in-Architektur macht die beliebten Notebooks flexibel erweiterbar.

Der Vortrag zeigt die spannendsten Neuerungen und einige der hilfreichsten magic-commands. Außerdem zeige ich meine best-practices und liebsten Bibliotheken für einen effizienten Workflow bei der Datenanalyse mit Python.

### Bio
Nico ist stets neugierig und begeistert sich schnell für neue Technologien. Er arbeitet als Big Data Scientist bei inovex und produziert den inoTecCast, einen Entwickler-Podcast, in dem spannende, innovative Technologien erklärt werden.

19:00
Break with pizza and cold drinks

19:30
JupyterHub and Jupyter Notebook – A View Under the Hood
Jürgen Hermann (1&1)

This talk tries to give you an overview of all the little
parts that together make up a Jupyter-powered application,
and how they fit together.

• The Jupyter Project and its building blocks

• Internal magic: protocols, authenticators, spawners, gateways, kernels. …

• Deploying a local data science platform

• Simple host-based deployments

• Running Jupyter on Kubernetes

• Options for publishing notebooks

### Bio
A long long time ago, Jürgen started with Python 1.5 at *web.de*,
founded the MoinMoin wiki project shortly thereafter, and is now
enjoying the increased traction that Python recently gets from
data science and machine learning.

20:15
Lightning Talks

Robert Müller - 'The use of Python in the field of Molecular Ecology, with an short outlook into the future'

Some Critique on Jupyter Notebooks - Julian

20:30
Networking

21:00
End

Please feel free to contact us at python@koenigsweg.com if you have any further questions or if you are up doing a Lightning Talk.