The notebooks contained in this repository can either be run locally on your own computer or through Binder, where they are hosted remotely and can be run by any user with no pre-installation required.
Click the 'launch binder' link at the top of this README - this may take a while to load but avoids any installation described below!
These instructions are also provided in slides/PandasOverview_notebook.ipynb
The following commands should be entered in a terminal of your choice!
Ensure you have Python 3.X installed and create a virtual environment, where $envname is any name you would like (without a dollar sign!)
python -m venv $envname
Activate your environment
Linux/macOS
sh $envname/bin/activate
Windows
sh $envname/Scripts/activate
Install any Python packages necessary
pip install -r requirements.txt
Launch jupyter notebooks (launches a graphical file explorer similar to windows - then just find the notebook you want to run!)
jupyter notebook
Presentation slides can be found in slides
An interactive Jupyter notebook version of the slides shown on 15/06/2020 is provided in slides/PandasOverview_notebook.ipynb
A very brief runthrough of a Programming Historian data visualisation tutorial is included as an optional extra(!) within notebooks/ProgrammingHistorian_BokehTutorial.ipynb
Example spreadsheets are provided in the data directory as .csv and .xlsx formats and are referred to in the tutorial notebooks. You shouldn't need to add anything here, but feel free to add your own datasets in and try out some pandas features!