Document py-stats-toolkit v1.0.4 - Statistical Analysis Toolkit

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Comprehensive Python statistical analysis package with 8 modular components, automated CI/CD, and PyPI distribution infrastructure.

Core Statistical Modules

• Correlation - Multi-variate correlation analysis
• Regression - Linear and multiple regression with diagnostics
• Time Series - Temporal analysis and forecasting
• Variance - ANOVA and variance testing
• Descriptive Statistics - Moving averages and summaries
• Factorial Analysis - Factor analysis and dimensionality reduction
• Frequency Analysis - Distribution analysis
• Probabilistic - Probability distributions and statistical tests

Infrastructure

Automation

• publish_automated.py - Zero-interaction PyPI publishing
• build_and_ready.py - Package validation and build
• release_and_publish.py - Integrated GitHub + PyPI release

CI/CD

• Multi-version testing (Python 3.8-3.11)
• Automated PyPI publishing on release
• GitHub Pages documentation deployment

Quality Tooling

• Code formatting: black, isort
• Linting: flake8, pylint
• Type checking: mypy
• Security: bandit
• Testing: pytest with coverage

Package Structure

from py_stats_toolkit import create_analysis_module, analyze_data
import pandas as pd

# Factory pattern for module instantiation
module = create_analysis_module("regression", normalize=True)
results = module.analyze(data)

# Convenience wrapper
stats = analyze_data(data, module_type="descriptives")

Dependencies: numpy, pandas, scipy, matplotlib, seaborn, statsmodels, scikit-learn, networkx, deap

Build System: pyproject.toml with setuptools backend

Test Coverage: 12 tests covering imports, correlation, descriptives, and regression

Original prompt

Multiple commits are pending for inclusion in a PR within the repository. The goal is to:

1. Create a pull request combining the various improvements or changes made across all listed commits.
2. Write a comprehensive description summarizing the global impact of these changes and the rationale behind the updates.
3. Validate functionalities through a code review process, ensuring quality and consistency.

This pull request was created as a result of the following prompt from Copilot chat.

Multiple commits are pending for inclusion in a PR within the repository. The goal is to:

1. Create a pull request combining the various improvements or changes made across all listed commits.
2. Write a comprehensive description summarizing the global impact of these changes and the rationale behind the updates.
3. Validate functionalities through a code review process, ensuring quality and consistency.

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

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