[monte_carlo.md] Update np.random → Generator API#741
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
This PR migrates legacy NumPy random API usage in
monte_carlo.mdas part of QuantEcon/meta#299.from numpy.random import randnwithrng = np.random.default_rng()in the imports block.randn(),randn(n),np.random.randn(M), andnp.random.randn(2, M)calls with the corresponding Generator API methods (rng.standard_normal()).Details
rngis defined once at module level in the imports block and reused throughout the lecture, including in the exercise solution blocks. In previous lectures, exercise solution blocks were typically treated as self-contained andrngwas redefined within each solution block. In this lecture, however, the exercise solutions were already not self-contained — they relied on the module-levelrandnimport rather than defining their own random source — so definingrngat module level and reusing it throughout is the more natural and consistent pattern here.No fixed seed was introduced. No Numba-related code was present.
Hi @mmcky and @HumphreyYang, I'd be grateful if you could take a look when you have time.