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/cli-compilation.md

@@ -1,7 +1,11 @@
-# CLI Compilation
+# Java CLI Compilation
 
 Radixor provides a command-line compiler for turning line-oriented dictionary files into compact binary stemmer artifacts.
 
+This page documents the Java CLI and its selectable reduction and normalization
+controls. Python exposes its production compilation profile through
+`radixor.compile(...)`; see [Compiling Dictionaries in Python](python/model-compilation.md).
+
 The CLI output is not a model JAR. A model artifact contains a compressed textual dictionary, descriptor, index, checksum, and license so the runtime registry can discover and compile it. The CLI instead emits an already compiled binary trie for direct `loadBinaryCompiled(...)` use. Choose the model-module workflow when independently published classpath discovery is required; choose the CLI when the application owns a compiled binary asset.
 
 This is the preferred preparation workflow when stemming should run against an already compiled artifact rather than against raw dictionary input. The CLI reads the dictionary, derives patch commands, builds a mutable trie, applies the selected subtree reduction strategy, and writes the final compiled trie in the project binary format under GZip compression. The result is a deployment-ready `.radixor.gz` file that can be loaded directly by application code.