Prep v0.9.6

Author: denisecase

.github/workflows/links.yml

@@ -42,7 +42,7 @@ jobs:
 
       - name: 2) Check links with Lychee
         id: lychee
-        uses: lycheeverse/lychee-action@v2.7.0
+        uses: lycheeverse/lychee-action@v2.8.0
         with:
           # WHY: Do not hard-fail this step; always run reporting steps.
           # Instead, fail the job explicitly at the end if exit_code != 0.

README.md

@@ -7,7 +7,7 @@
 [![CI](https://github.com/denisecase/datafun-toolkit/actions/workflows/ci-python-zensical.toml/badge.svg?branch=main)](https://github.com/denisecase/datafun-toolkit/actions/workflows/ci-python-zensical.toml)
 [![Deploy-Docs](https://github.com/denisecase/datafun-toolkit/actions/workflows/deploy-zensical.toml/badge.svg?branch=main)](https://github.com/denisecase/datafun-toolkit/actions/workflows/deploy-zensical.toml)
 [![Check Links](https://github.com/denisecase/datafun-toolkit/actions/workflows/links.yml/badge.svg)](https://github.com/denisecase/datafun-toolkit/actions/workflows/links.yml)
-[![Dependabot](https://img.shields.io/badge/Dependabot-enabled-brightgreen.svg)](https://github.com/denisecase/datafun-toolkit/security/dependabot)
+[![Dependabot](https://img.shields.io/badge/Dependabot-enabled-brightgreen.svg)](https://github.com/denisecase/datafun-toolkit/security)
 
 > Privacy-safe diagnostics, paths, and logging helpers for analytics projects.
 

docs/en/index.md

@@ -1,25 +1,25 @@
 # DataFun Toolkit
 
-The **DataFun Toolkit** provides privacy-safe utility helpers for data analytics Python projects.
+The **DataFun Toolkit** provides privacy-safe utilities for analytics Python projects.
 
 This package is designed to be:
 
 - Imported, not modified
 - Safe to log and share
 - Consistent across operating systems
 
-It supports common needs such as:
+It helps:
 
-- Finding the project root reliably
-- Sanitizing file paths for logs
-- Detecting runtime environment details (OS, shell, Python)
-- Emitting standardized log headers
+- Locate the project root
+- Sanitize file paths for logs
+- Detect runtime environment details (OS, shell, Python)
+- Emit standardized log headers
 
 ## Who This Is For
 
-- Those learning Python for data analytics
-- Debugging
-- Analytics projects that need lightweight diagnostics
+- Data analysts working on Python projects
+- Developers debugging workflows
+- Analytics projects needing lightweight diagnostics
 - CI / GitHub Actions environments
 
 This toolkit intentionally avoids:
@@ -44,10 +44,10 @@ Or with uv:
     uv add datafun-toolkit
     uv sync
 
-Once installed, import the functions by module (see api.md).
+See the API reference for available modules.
 
 ## Documentation
 
-- API Reference (api.md)
-- Examples (examples.md)
-- Troubleshooting (troubleshooting.md)
+- API Reference
+- Examples
+- Troubleshooting

pyproject.toml

@@ -3,7 +3,6 @@
 # ============================================================
 # VARIANT: python-mkdocs-pypi
 # SOURCE: https://github.com/denisecase/templates
-# Includes scm and mike for versioning.
 
 # REQ.PYTHON: Python projects MUST include pyproject.toml as the single source of truth.
 # WHY: Centralizes project configuration.
@@ -52,7 +51,6 @@ dev = [
     "pytest-cov>=7.0.0",
     "pyright>=1.1.408",
     "ruff>=0.14.13",
-    "twine>=6.2.0",
     "validate-pyproject>=0.24.1",
 ]
 
@@ -80,11 +78,9 @@ DEP002 = [
     "pytest-cov",
     "pyright",
     "ruff",
-    "twine",
     "validate-pyproject",
 
     # === DOCUMENTATION TOOLING (not required at runtime) ===
-    "mike",
     "mkdocstrings",         # WHY: Needed for [python] extra (above).
     "zensical",             # WHY: Zensical is used for AI-assisted documentation.
 ]