initial commit

Pipfile

+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+ipykernel = "*"
+numpy = "*"
+pandas = "*"
+psycopg2-binary = "*"
+jupyter = "*"
+jupyterlab = "*"
+sklearn = "*"
+matplotlib = "*"
+seaborn = "*"
+scipy = "*"
+statsmodels = "*"
+pyarrow = "*"
+fastparquet = "*"
+
+[dev-packages]
+
+[requires]
+python_version = "3.9"

README.md

-# data-engineering-analytics-notebooks
+# Data Engineering and Analytics Notebooks
 
-Jupyter notebooks for data engineering and analytics.
\ No newline at end of file
+This repo holds all notebooks used during the lecture Data Engineering and Analytics at the Department of Computer
+Science, University of Innsbruck.
+
+## Installation 
+```bash
+# install pipenv
+pip3 install --user pipenv
+
+# cd to data-engineering-analytics-notebooks directory
+# install packages specified in pip file
+pipenv install 
+
+# activate virtual environment
+pipenv shell
+
+# set up kernel in activated environment, needs to be re-executed with every change in pip environment
+python -m ipykernel install --user --display-name dataeng_kernel --name dataeng_kernel
+```
+
+# Usage 
+```bash
+# if necessary, activate your virtual environment
+# pipenv shell
+
+# start jupyter-lab - should now use the installed dataeng_kernel 
+jupyter-lab
+
+# or alternatively, start jupyter 
+jupyter notebook
+```

data/.ipynb_checkpoints/humans-err-checkpoint.csv

+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}