elizabethst / ADS---Python-Example-

This respository includes the Python routines that were developed for journal entry audit procedures.

Audit Data Standards Python Example

This repository displays the benefits of using Python and the Jupyter Notebook in a financial statement audit.

Requirements

If you haven't already installed Python 3 and Jupyter, the easiest way to install both is by using Anaconda.

Usage

TODO: Write usage instructions

1. How to reshape SAP Data for your audit
2. How to reshape Quickbooks General Ledger Data for your audit
3. How to split a DataFrame (csv, xlsx, other) using pandas and groupby

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Add your changes: git add *
4. Commit your changes: git commit -am 'Add some feature'
5. Push to the branch: git push origin my-new-feature
6. Submit a pull request :D

History

TODO: Write history

** Consider adding an init method to Test_Procedures, to reduce data entry:

def __init__(self, GL_Detail, Log_File=None, JE_Column=None, Output=None):
   # Checks to make sure data is valid
   assert JE_Column in GL_Detail.columns
   self.GL_Detail = GL_Detail
   ...
def run():
   # Execute all procedures in module

Credits

TODO: Write credits

License

Apache 2.0