Vega – A Grammar of Interactive Graphics
At this month's Full Stack Quants, Markus Schanta will give a presentation about Vega, a framework for interactive visualisation. Don't miss it!
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 talk does not require extensive knowledge of Javascript or Python. It aims to provide useful information for beginners as well as people who are already familiar with these visualisation frameworks.
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)
- Damjan Vujnovic's Angular Workshop (in London on 3rd - 5th July 2019)
- Damjan Vujnovic's Advanced JavaScript Workshop (in London on 15th - 17th July 2019)
- Infiniteconf 2019 - A one-day community celebration of Big Data, Machine Learning and AI (in London on 4th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- IWDS 23: Intro to Natural Language Processing (NLP) - 1/2 (in London on 24th June 2019)
- Keynote by Bruce Lawson on How To Make Loveliness: an HTML Treasure Hunt (in London on 24th June 2019)
- Upgrading to Django 2.2 (SkillsCast recorded in June 2019)
- Frontend Series (SkillsCast recorded in June 2019)
Thanks to our sponsors
Vega – A Grammar of Interactive Graphics
Markus Schanta
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.
At this month's Full Stack Quants, Markus Schanta will give a presentation about Vega, a framework for interactive visualisation. Don't miss it!
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 talk does not require extensive knowledge of Javascript or Python. It aims to provide useful information for beginners as well as people who are already familiar with these visualisation frameworks.
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)
- Damjan Vujnovic's Angular Workshop (in London on 3rd - 5th July 2019)
- Damjan Vujnovic's Advanced JavaScript Workshop (in London on 15th - 17th July 2019)
- Infiniteconf 2019 - A one-day community celebration of Big Data, Machine Learning and AI (in London on 4th July 2019)
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- IWDS 23: Intro to Natural Language Processing (NLP) - 1/2 (in London on 24th June 2019)
- Keynote by Bruce Lawson on How To Make Loveliness: an HTML Treasure Hunt (in London on 24th June 2019)
- Upgrading to Django 2.2 (SkillsCast recorded in June 2019)
- Frontend Series (SkillsCast recorded in June 2019)
Thanks to our sponsors
Vega – A Grammar of Interactive Graphics
Markus Schanta
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.