Introduction

Jupyter Notebooks

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. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

More Information can be found at:

http://jupyter.org/documentation.html

Be aware, we are supporting only Python == 3.7!

Using PyHasse in Jupyter notebooks

Linux/MAC: Create a new virtual environment:

cd /go/to/folder/where/you/want/to/work
python3.x -m venv pyhasse
cd pyhasse
source ./bin/activate

Windows: Create a new virtual environment:

Open a commandline (cmd) or powershell and open your drive and/or folder for experiments.

cd c:\go\to\folder\where\you\want\to\work
c:\\absolute\path\to\python.exe -m venv pyhasse
cd pyhasse
.\Scripts\activate.bat

HINT

Some Windows versions with german codepages causing errors! A workaround can be found at:

https://github.com/python/cpython/pull/10696/commits/f5ef66db01d865a81feb223ebf5b7c274f9bee80

Installation: Jupyter

pip install notebook

Next step: use pyhasse.core

follow the instructions for installing a single pyhasse module