Remove 67 unused dependencies from requirements files

[Copilot]

The project declared 85 total dependencies but only used 6 in production code. This PR removes unused dependencies to reduce installation time, disk usage, and maintenance burden.

Changes

requirements.txt: Reduced from 46 to 6 dependencies (-87%)

• Kept: numpy, pandas, scipy, matplotlib, statsmodels, scikit-learn
• Removed: Server frameworks (fastapi, uvicorn, pydantic), security libraries (cryptography, python-jose, passlib), visualization tools (plotly, dash, seaborn), data format handlers (openpyxl, xlrd, pyarrow), performance libraries (numba, dask), and other unused packages (networkx, deap, tqdm, joblib)

requirements-dev.txt: Reduced from 39 to 12 dependencies (-69%)

• Kept: Testing (pytest, pytest-cov, coverage), linting/formatting (black, flake8, mypy, isort), documentation (sphinx, sphinx-rtd-theme), build/release (build, twine)
• Removed: Unused test frameworks (pytest-asyncio, pytest-mock, hypothesis), additional linters (pylint, bandit), extra doc tools (mkdocs), dev utilities (jupyter, ipython, pre-commit), profilers (ipdb, memory-profiler)

pyproject.toml: Synchronized dependencies with requirements files

README.md: Removed duplicate Python version badges and bandit badge

Verification

Analysis confirmed via grep of all imports across py_stats_toolkit/ and tests/. All 12 existing tests pass with the reduced dependency set.

Original prompt

git checkout -b deps-update-clean upstream/release/community-contributions

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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

See analysis details on SonarQube Cloud

[EthanThePhoenix38]

submitted after corrections of conflits

[Copilot]

Pull request overview

This PR removes 67 unused dependencies from the project's requirements files, reducing the total from 85 to 18 dependencies (6 production + 12 development). The cleanup aims to minimize installation time, disk usage, and maintenance overhead by retaining only actively used packages verified through code analysis.

• Reduced production dependencies from 46 to 6, keeping core scientific computing libraries (numpy, pandas, scipy, matplotlib, statsmodels, scikit-learn)
• Reduced development dependencies from 39 to 12, retaining essential testing, linting, formatting, documentation, and build tools
• Updated Python version requirement from 3.8+ to 3.9+ across all configuration files

Reviewed changes

Copilot reviewed 6 out of 7 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
requirements.txt	Removed 40 unused production dependencies, kept 6 core scientific libraries with updated minimum versions
requirements-dev.txt	Removed 27 unused dev dependencies, kept 12 essential development tools (pytest, black, flake8, mypy, sphinx, etc.)
pyproject.toml	Synchronized dependencies list with requirements files, added coverage and twine to dev extras
py_stats_toolkit.egg-info/requires.txt	Updated generated dependency metadata to match new requirements, bumped minimum versions
py_stats_toolkit.egg-info/SOURCES.txt	Added new module files to the package manifest
py_stats_toolkit.egg-info/PKG-INFO	Updated package metadata with version 1.0.5, new Python version requirement (3.9+), and synced dependency lists
README.md	Removed duplicate Python version badge, removed bandit badge (tool no longer used), cleaned up redundant test/coverage badges

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