In brevi
dawgdad is a Python library for data scientists, machine learning engineers, and statisticians. It contains statistical and graphical functions for making sense of data to create information and understanding.
- Supervised machine learning
- Six Sigma methodology
- Regular expressions
- Process capability
- Process variation
- Excel file edits
- Taguchi Methods
- Data Science
- Automation
- Analytics
Why dawgdad?
- Equivalent Python functions that are available in R, SAS, JMP, Minitab
- Other packages have limited process control analysis features
- Other packages are abandoned or inadequately supported
- Functions to support measurement system analysis
- Functions to simplify statistics, graphs, etc.
- Functions to support process control charts
- Functions to support SQL functionality
- Develop a free open source package
Documentation
Full documentation is available at https://dawgdad.readthedocs.io/en/latest/.
Installation
This project is publish on https://pypi.org/project/dawgdad/.
pip install dawgdad
References
To cite this repository, please use:
@software{dawgdad, author = {Gilles Pilon}, title = {dawgdad}, url = {https://github.com/gillespilon/dawgdad}, version = {1.0.10}, date = {2026-07-30} }
1 maintainer
Metadata
1 maintainer
Release files for dawgdad 1.0.10
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dawgdad-1.0.10.tar.gz | 84.9 kB | Without provenance | Details for dawgdad-1.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dawgdad-1.0.10-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for dawgdad-1.0.10-py2.py3-none-any.whl |
Total release size: 174.4 kB
Release files / dawgdad-1.0.10.tar.gz
| Download URL | dawgdad-1.0.10.tar.gz |
|---|---|
| Size | 84.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / dawgdad-1.0.10-py2.py3-none-any.whl
| Download URL | dawgdad-1.0.10-py2.py3-none-any.whl |
|---|---|
| Size | 89.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.34.2
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Security for dawgdad 1.0.10
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