…446)

- Add formatted output with .6f precision for all results
- Simplify race condition explanation, remove verbose details
- Improve code flow with better print statement placement
- Enhance readability of parallel Numba examples
- Clarify JAX vmap benefits and use cases
- Remove redundant multithreading note from NumPy section
- Strengthen conclusion about tool trade-offs

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>

- Fix spelling: 'parallize' → 'parallelize'
- Fix grammar: 'target JAX' → 'targets JAX'
- Fix grammar: remove extra 'is' in 'JAX is as a drop-in'
- Fix grammar: add missing 'is' in 'full control of random state'
- Add Wikipedia links for NumPy, SciPy, automatic differentiation, functional programming, pure functions, deterministic, and side effects
- Add link to JAX scipy documentation
- Add cross-reference link to Numba exercise using {ref}

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>

* Add centralized GPU admonition for JAX lectures

- Create _admonition/gpu.md for single-source GPU notice
- Update jax_intro.md to use include directive
- Update numpy_vs_numba_vs_jax.md to use include directive

This makes it easier to maintain consistent GPU notices across
all JAX-related lectures.

* Fix grammar: target -> targets

* Simplify GPU admonition text