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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.
Putting a list into random order might seem like an unusual task, but it can be quite useful for many businesses. For example, you might want to randomly assign leads to salespeople, assign jobs to ...
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 ...
An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...
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 ...
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 ...
Abstract: Fractions are always better calculated for judgment of precise and accurate value. Sometimes division may yield particulars in decimal form, there the importance of the fraction comes with ...
Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...
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