* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
689 B
Markdown
9 lines
689 B
Markdown
# Random Module
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NumPy's `random` module generates pseudorandom numbers and samples. It provides functions for creating random arrays, sampling from distributions (normal, uniform, binomial), and setting a seed for reproducibility. Random number generation is used in simulation, bootstrapping, and initializing machine learning models.
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Visit the following resources to learn more:
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- [@article@Random Numbers in NumPy](https://www.w3schools.com/python/numpy/numpy_random.asp)
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- [@article@Numpy Random](https://www.programiz.com/python-programming/numpy/random)
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- [@video@Random numbers in NumPy are easy! 🎲](https://www.youtube.com/watch?v=Ql5zGPtxlHY&pp=ygUNIG51bXB5IHJhbmRvbQ%3D%3D) |