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https://github.com/dmarks84/ind_project_readme-generator
Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
https://github.com/dmarks84/ind_project_readme-generator
dataframes etl numpy pandas programming python
Last synced: 11 days ago
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Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
- Host: GitHub
- URL: https://github.com/dmarks84/ind_project_readme-generator
- Owner: dmarks84
- License: bsd-3-clause
- Created: 2024-01-17T19:28:31.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-01-17T23:29:31.000Z (12 months ago)
- Last Synced: 2024-11-05T19:22:34.834Z (about 2 months ago)
- Topics: dataframes, etl, numpy, pandas, programming, python
- Language: Jupyter Notebook
- Homepage:
- Size: 51.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Ind_Project_README-Generator
### Independent (personal) project in which I automatically generate README files for each of my repositories from my coursework
## Summary
Creating README files for each of my repositories I could have handled manually, but I thought it would speed things up if I typed out just the summaries and applied a Python script to pull out the inforamtion I had already collected about each and put in a spreadsheet and then mapped this to the folder structure I had utilzied on my harddrive for saving project files. I had to create dataframes from both the data I had collected and the folders, which meant using the pandas read_excel method as well as the pathlib Path objects to be able to read and write files.## Skills (Developed & Applied)
Programming, Python, Numpy, Pandas, Dataframes, ETL