JupyterLab - Your Personal Data Science Workbench
In this session, Markus Schanta will introduce JupyterLab as a data science/research environment and show off its most useful features. He will also show you how to set up your own instance of JupyterLab either locally or in the cloud on Amazon AWS.
The Jupyter notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. It's a great research environment for finance and machine learning applications.
The talk does not require extensive knowledge of Python, Jupyter or AWS. We will aim to provide useful information for beginners as well as people who are already somewhat familiar with these technologies.
All the coding will be published live to GitHub, so you can follow on your own laptop if you wish, or revisit afterwards.
YOU MAY ALSO LIKE:
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Inspire creation with technology such as the Raspberry Pi over a pint. (in London on 26th February 2019)
- Webpack Academy: From Beginner to Master with Sean Larkin (in New York on 15th - 16th July 2019)
Thanks to our sponsors
JupyterLab - Your Personal Data Science Workbench
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.
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SkillsCast
In this session, Markus Schanta will introduce JupyterLab as a data science/research environment and show off its most useful features. He will also show you how to set up your own instance of JupyterLab either locally or in the cloud on Amazon AWS.
The Jupyter notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. It's a great research environment for finance and machine learning applications.
The talk does not require extensive knowledge of Python, Jupyter or AWS. We will aim to provide useful information for beginners as well as people who are already somewhat familiar with these technologies.
All the coding will be published live to GitHub, so you can follow on your own laptop if you wish, or revisit afterwards.
YOU MAY ALSO LIKE:
- FullStack London 2019 - The Conference on JavaScript, Node & Internet of Things (in London on 10th - 12th July 2019)
- Inspire creation with technology such as the Raspberry Pi over a pint. (in London on 26th February 2019)
- Webpack Academy: From Beginner to Master with Sean Larkin (in New York on 15th - 16th July 2019)
Thanks to our sponsors
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About the Speaker
JupyterLab - Your Personal Data Science Workbench
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.