Introduction

Tu.it dataLabs Jupyter as a Service offers lecturers and students a well integrated environment for data science, machine learning and programming classes. Each class gets its own fully customized JupyterHub with guarantied hardware resources necessary to solve the given exercises.

Features

• Tuwel integration
• Exercise distribution and grading with nbgrader
• Individual software stack for each class
• Virtual Desktop for GUI applications
• Theia IDE
• Powerful hardware platform

Hands on video

Useful Links

• https://jupyter-notebook.readthedocs.io/en/stable/
• https://jupyterlab.readthedocs.io/en/latest/
• https://nbgrader.readthedocs.io/en/stable/
• https://jupyterbook.org/intro.html

Get a JupyterHub for your lecture

Request as JupyterHub at datalab@tuwien.ac.at

Lectures with TU.it dataLab JupyterHubs

SS 2021

• 122.425 Introduction to Programming II for Geodesy and Geoinformation

• 138.128 Machine Learning in Physics

• 191.124 Fundamentals of Security and Privacy

• 165.157 Theoretical molecular chemistry

• 120.081 Climate and Environmental Remote Sensing

• 330.282 Knowledge Integration in Cyber Physical Production Systems

• 105.730 Modeling dynamic environmental systems

• 105.632 Model-based Decision Support

• 186.143 Information Visualization

• 194.035 Recommender Systems

WS 2020

• 122.424 Introduction to Programming I for Geodesy, Geoinformation and Environmental Engineering

• 122.426 Applied Remote Sensing

• 120.030 Microwave Remote Sensing

• 186.840 Introduction to Pattern Recognition

• 191.116 Scientific Programming with Python

• 188.995 Data-oriented Programming Paradigms

• 194.039 Intelligent Audio and Music Analysis

• 194.093 Natural Language Processing and Information Extraction

• 165.008 Physical Chemistry, Laboratory Course