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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.
A new global study suggests that a mismatch between two routine blood tests used to assess kidney function may quietly signal elevated risks of kidney failure, heart disease, and death. Credit: ...
IBM agreed to purchase data streaming platform Confluent for $11 billion Monday. Both companies’ boards greenlit the transaction, which is expected to close by the middle of next year, pending ...
According to newly released animal testing data, over 3.7 million animals were used in Canada in 2024, an alarming 18.5 percent increase from 2023. The experiments were also more painful, with a ...
The growing complexity of web applications has heightened the need for automated and adaptive testing solutions. Manual test case authoring and static data generation often fall short in handling ...
Abstract: In high-speed data center networks, persistent flows are repeatedly observed over extended periods, potentially signaling threats such as stealthy DDoS or botnet attacks. Monitoring every ...
Sometimes you need some dummy data for testing - e.g. to see what throughput you can get. To test an account to account copy, use those files as the source. Your source URL should contain the virtual ...
LPW Technology, a developer and supplier of metal powders, has published a laboratory service data sheet focusing on the Hall Flow testing of metal alloys. The Hall Flow test is conducted to ASTM B213 ...
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