# thepycoach/automation

Automation with Python (Excel, scripts, etc)

Repository: https://github.com/thepycoach/automation
Canonical: https://ross.abutalabs.com/products/automation
Language: Jupyter Notebook
License Family: other
Last push: 2024-05-19T17:23:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1950, "days_push": 836, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1106, forks 529 (observed 2026-08-28T04:03:36.476504+00:00)

## What it is
A collection of Python automation scripts accompanying the Udemy course 'Automate Your Life with Python' by Frank Andrade. It includes Jupyter Notebook examples for automating everyday tasks such as Excel file handling.

## Use cases
- learn python automation from example scripts
- automate excel tasks with python
- find example code for automating daily tasks
- supplement a python automation course with code
- practice scripting repetitive tasks in python

## When to choose
- you are taking or considering the accompanying Udemy course and want the code
- you want simple, readable Python automation examples
- you are a beginner learning to automate Excel and everyday tasks

## When to avoid
- you need a production-ready automation framework or maintained library
- you require a licensed, supported codebase (no license is provided)
- you need advanced automation beyond the course's scope

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: workflow-automation, developer-tools
- domain: education, developer-tools
- platform: python, cross-platform
- tags: python-scripts, excel-automation, udemy-course, jupyter-notebooks, tutorial-code, automation

## Member repositories
- thepycoach/automation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.476504+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:44:17.606711+00:00, confidence not recorded.
  - readme: https://github.com/thepycoach/automation (fetched 2026-08-28T04:03:36.476504+00:00, sha 62e86160b134)
- Data as of 2026-08-30T08:39:29.467469+00:00.