How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Technical View: Bears may gain strength only below 25,450; Nifty seen consolidating till then, Bank Nifty holds ground despite profit booking

Weekly options data suggested immediate resistance for the Nifty 50 at the 25,700–25,800 zone, with support at the 25,500 ...
Visual Studio Magazine

Microsoft Expands Quantum Development Kit with New Open-Source Tools, VS Code Integration

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real‑world hybrid quantum workloads in chemistry, optimization, and machine ...
eLife

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
Ministry of Testing

Beyond data generation: How I learned to trust synthetic data in performance testing

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...