What's included

• Custom Python Script(s)

  Main Script: The primary Python script(s) that fulfill the project's requirements, such as data analysis, web scraping, automation tasks, etc. Supporting Modules: Any additional Python files or modules developed to support the main script, if applicable.

• Documentation

  Code Comments: Inline comments within the Python script(s) for clarity and ease of understanding. README File: A detailed guide explaining the script's purpose, setup, and how to run it. This should include any prerequisites, dependencies, and step-by-step instructions. API Documentation: If the script interacts with any APIs, include documentation on how these integrations work and any necessary credentials or setup.

• Setup and Installation Guide

  Instructions for setting up the Python environment, including installing Python (if not already installed), setting up a virtual environment, and installing required packages. A requirements.txt file listing all the dependencies needed for the script, allowing for easy installation with pip.

• Test Cases and Examples

  Sample input data and expected output data, demonstrating how the script works. Test scripts or a test suite, if applicable, to validate the functionality of the script across different scenarios.

• Data Files (if applicable)

  Sample data files or templates, if the script requires specific data formats. Output data files generated by the script during execution, if applicable.

• Post-Delivery Support

  A specified period of post-delivery support to address any bugs or issues that arise during the initial use of the script. Guidelines on how to request support or report issues.

• Version Control Repository (Optional)

  Access to a version control repository (e.g., GitHub, Bitbucket) containing the project's code, which can be useful for tracking changes, versioning, and collaboration.