Patrick Hoefler

I am a member of the pandas core team since early 2021. I am a regular contributor of pandas since early 2020. I am currently working at Coiled as a Senior Software Engineer. I hold a Masters degree in Mathematics and I am currently studying towards a Software Engineering degree.


Github

https://github.com/phofl

LinkedIn

https://www.linkedin.com/in/patrick-hoefler/


Sessions

04-17
10:50
45min
Pandas 2.0 and beyond
Joris Van den Bossche, Patrick Hoefler

Pandas has reached a 2.0 milestone in 2023. But what does that mean? And what is coming after 2.0? This talk will give an overview of what happened in the latest releases of pandas and highlight some topics and major new features the pandas project is working on.

PyData: PyData & Scientific Libraries Stack
Kuppelsaal
04-18
14:05
90min
Let's contribute to pandas (3 hours) #1
Noa Tamir, Patrick Hoefler

PyData Berlin are excited to bring you this open source workshop dedicated to contributing to pandas. This tutorial is 3 hours. We will have a break and continue with the same group of people.

pandas is a data wrangling platform for Python widely adopted in the scientific computing community. In this session, you will be guided on how you can make your own contributions to the project, no prior experience contributing required! Not only will this teach you new skills and boost your CV, you'll also likely get a nice adrenaline rush when your contribution is accepted!

If you don’t finish your contribution during the event, we hope you will continue to work on it after the tutorial. pandas offers regular new contributor meetings and has a slack space to provide ongoing support for new contributors. For more details, see our contributor community page: http://pandas.pydata.org/docs/dev/development/community.html .

PyData: PyData & Scientific Libraries Stack
A03-A04
04-18
15:45
90min
Let's contribute to pandas (3 hours) #2
Noa Tamir, Patrick Hoefler

PyData Berlin are excited to bring you this open source workshop dedicated to contributing to pandas. This tutorial is 3 hours. We will have a break and continue with the same group of people.

pandas is a data wrangling platform for Python widely adopted in the scientific computing community. In this session, you will be guided on how you can make your own contributions to the project, no prior experience contributing required! Not only will this teach you new skills and boost your CV, you'll also likely get a nice adrenaline rush when your contribution is accepted!

If you don’t finish your contribution during the event, we hope you will continue to work on it after the tutorial. pandas offers regular new contributor meetings and has a slack space to provide ongoing support for new contributors. For more details, see our contributor community page: http://pandas.pydata.org/docs/dev/development/community.html .

PyData: PyData & Scientific Libraries Stack
A03-A04