Jupyter notebook tool for converting data that is laid out in a formatted Excel spreadsheet into a normalized form for use by databases.
Python 3.4+ supported.
To install for development, the easiest way is create a virtualenv, activate it:
and then type
pip install -e git+https://github.com/sensiblecodeio/databaker.git#egg=databaker
This will install the code into
src/databaker where you can edit and commit it.
For normal use
pip install databaker
Launch a Jupyter notebook:
and then follow the tutorials as described below.
The current documentation is in the form of Jupyter notebooks located inside the tutorial directory.
You can access these directly by creating a new Jupyter notebook and running the following in a Jupyter cell:
from databaker.tutorial import tutorial tutorial()
which will copy the tutorials to your current directory and provide links to these copied notebooks.