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)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
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- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
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- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
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- ngTemplateOutlet: The secret to customisation with Stephen Cooper (in London on 22nd August 2019)
- What Makes us Passionate (SkillsCast recorded in August 2019)
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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)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
- React & Redux Workshop with Damjan Vujnovic (in London on 16th - 18th September 2019)
- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- London Reinforcement Learning August (in London on 22nd August 2019)
- ngTemplateOutlet: The secret to customisation with Stephen Cooper (in London on 22nd August 2019)
- What Makes us Passionate (SkillsCast recorded in August 2019)
- Powering Code Reuse with Render Props, Hooks and Context in React (SkillsCast recorded in August 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.