Abstract: 

Are you a data scientist looking for new and powerful ways to ship data products to users within your organization?
This session offers a crash course in new open source Python, Jupyter and PyData tools to rapidly prototype interactive apps that are as expressive and powerful as any notebook you can build!
Come and learn how to quickly turn Jupyter notebooks - a central element in a data science workflow - into beautiful web apps to share with team members and stakeholders in your organization!

What you will learn:
At the end of this session we will have built an interactive app that you would be proud to show to your organization.

* Open source interactive plotting frameworks for Python & PyData
* Using widgets in Jupyter
* Linking widgets and events to create complex logic
* Serving apps with Voila
* Applying material design components using Vuetify

What you will bring home:
A strong understanding and experience using new tools that can get you started shipping high quality apps within days

Bio: 

Michal leads a successful data science consultancy, delivering strategy and execution on data science, data engineering and ML projects, with clients in retail, transportation, finance, film, and building automation. Beyond technical contributions, he has developed successful approaches to create lasting change in the alignment in organizational collaboration, data literacy, and unlock unrealized human potential that is being stopped by elusive inefficiencies in process and culture.
He holds a Masters degree in Econometrics and Information engineering form Poznan University of Economics. He participated in commercial research projects, including mobile phone data research with published results.