Statistical Methods Library for Python Pandas methods.
Where this documentation refers to the root folder we mean where this README.md is
located.
To start using this project, first make sure your system meets its requirements.
To be added.
Contributors have some additional requirements!
- Python 3.6.1+ installed
- a
.secretsfile with the required secrets and credentials - load environment variables from
.envrc
To install the Python requirements, open your terminal and enter:
pip install -r requirements.txtTo run this project, you need a .secrets file with secrets/credentials as
environmental variables. The
secrets/credentials should have the following environment variable name(s):
| Secret/credential | Environment variable name | Description |
|---|---|---|
| Secret 1 | SECRET_VARIABLE_1 |
Plain English description of Secret 1. |
| Credential 1 | CREDENTIAL_VARIABLE_1 |
Plain English description of Credential 1. |
Once you've added, load these environment variables using
.envrc.
Unless stated otherwise, the codebase is released under the MIT License. This covers both the codebase and any sample code in the documentation. The documentation is © Crown copyright and available under the terms of the Open Government 3.0 licence.
This project structure is based on the govcookiecutter template
project.