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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
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Python random.seed() Integer Sign Bug: Identical RNG Streams for Positive and Negative Seeds Exposed

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...
marktechpost

Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to communicate and collaborate seamlessly. It works by using ...
University of Vermont

Using the seed

I mentioned earlier that the numbers generated and choices made by the random module aren’t truly random, they’re pseudo-random, but what does this mean? Computers compute. They can’t pluck a random ...
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Creating a Random Name Generator in Python

If you share this odd but fun habit, you’re in for a treat! Today, we’re going to build a random name generator in Python.
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Enhance augmentation objects with references to a random state.

Looking at the current code, to draw random samples augmentation objects are using the global random state in the random module. This is ideal for maximally random pipelines that are impacted by any ...