I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: This article examines the normal form of a multiple-input-multiple-output (MIMO) linear time-varying (LTV) system. It explores the transformation of such a system into its normal form using ...

Pyvect (or) Python Vector is an open-source python module which is created for the purpose of simplifying most of the popular vector algebra calculations from the angle between vectors, projection of ...

New IPA research finds influencer marketing ROI outperforms linear TV and paid social, delivering “strong returns particularly over the long term”. Spanning 220 campaigns from 144 brands across 36 ...

The Python team has released version 3.14, with big new features including free threading support, the ability to use concurrent interpreters, improved debugger support, and an opt-in new interpreter ...

Abstract: Iterative linear solvers are a crucial kernel in many numerical analysis problems. The performance and energy efficiency of iterative solvers based on traditional architectures are severely ...