Man AHL Hackathon

Man AHL’s first ever Hackathon took place over the weekend of 21-22 April 2018, welcoming students and professionals to our London office to improve the Python Data Science ecosystem together. Over 24 hours, 90 people worked in teams to fix bugs, write documentation and implement new, exciting features – all results were pushed to their open-source repositories and dozens of pull requests were generated. During the hackathon, a team from Man AHL worked with the participants as they made their own contributions, either as part of a group on a well-known project or using their own open-source code.

Everyone enjoyed 24 hours of fun and code, exploring and improving the Python platform they use every day!

 
 
​ 
 
 
 ​
 
 
 
 ​
 
 
 ​
 

Featuring contributors of

Apache Arrow

Bokeh

NumPy

scikit-learn

SciPy

PyMC3

PyPy

Our Motivation

 

At Man AHL, we rely on the flourishing Python ecosystem. Over the years, Man AHL developers have contributed to many projects (check out github.com/manahl). We also sponsor the PyData and Machine Learning meet-ups in London. Through our Hackathon, we hope to grow the community surrounding these open source projects, contribute to new ideas, and give something back.

Contact us

 

[email protected]

Who

 

Anyone who uses Python for data analysis. Professionals, students and academics are all welcome. Ideally you will have experience with open source tools and libraries, and / or have been involved in or run your own open source projects.

 

Applications are now closed.

 

Please update your browser

Unfortunately we no longer support Internet Explorer 8, 7 and older for security reasons.

Please update your browser to a later version and try to access our site again.

Many thanks.