The talk will include a step-by-step tutorial for creating production-quality visualisations. Markus will also give an overview of related libraries and tools that you can use to create plots more easily.
The slides and examples will be published live on GitHub.
YOU MAY ALSO LIKE:
- JupyterLab - Your Personal Data Science Workbench (SkillsCast recorded in March 2018)
- Vue.js and TypeScript: Working Together like Peanut Butter and Jelly (Online Meetup on 3rd February 2022)
- Deep Learning with F#: An Experience Report (SkillsCast recorded in October 2021)
Vega – A Grammar of Interactive Graphics
Markus Schanta is a data scientist with professional experience working for large hedge funds and investment banks. He uses mathematics, statistics and computer science to turn data into actionable insights. Originally from Austria, he holds a BSc from the Vienna University of Technology and an MS in Machine Learning from Columbia University in New York where he had been awarded a Fulbright Scholarship.