feat(python): add native distribution and release infrastructure

- add the Rust-backed Python API with PyStemmer compatibility
- distribute standard compiled models as a separate Python package
- generate model artifacts during builds instead of storing them in Git
- add GitHub release and Pages-backed package index workflows
- add Python tests, benchmarks, documentation, and Gradle integration
- refresh the documentation site, branding, and language benchmarks

docs/programmatic-loading-and-building.md

@@ -1,7 +1,10 @@
-# Loading and Building Stemmers
+# Loading and Building Stemmers in Java
 
 This document explains how to acquire a compiled Radixor stemmer in Java.
 
+For Python construction and binary preparation, use [Python Usage and API](python/usage.md)
+and [Compiling Dictionaries in Python](python/model-compilation.md).
+
 ## Load a registered default model
 
 Language-oriented entry points resolve a registered default model and compile its GZip textual dictionary into a `FrequencyTrie<CompiledPatchCommand>`. The corresponding model JAR must be on the runtime classpath; the core contains no dictionary.