These are my go-to libraries for Python data crunching.

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

As GenAI reshapes the way students and professionals work with code, it changes the competencies educators should assess. Here’s what they could look like ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

cuPDLPx is a GPU-accelerated linear programming solver based on a restarted Halpern PDHG method specifically tailored for GPU architectures. It incorporates a Halpern update scheme, an adaptive ...

Abstract: This article presents an optimization model based on Mixed Integer Linear Programming (MILP) for the optimal management of microgrids with photovoltaic solar generation and flexible loads.

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

Neetcode's website and YouTube channel provide detailed explanations of different patterns for solving LeetCode problems. "Patterns for Solving LeetCode Problems" by Clement Mihailescu (2021) In this ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s ...

This page provides a link to TurboParser, a free multilingual dependency parser developed by André Martins. Dependency parsing is a lightweight syntactic formalism that relies on lexical relationships ...