If you are developing optimisation models, I'm curious what solvers do you prefer for your mathematical optimization models. Whether you're doing linear programming, mixed-integer, or nonlinear optimization.

Hi everyone, I am excited to join this community. I’m an AI Full-Stack Developer specializing in building scalable, intelligent applications powered by modern AI technologies. I’ve worked across the full product lifecycle — from system architecture and backend development to frontend interfaces and AI-driven automation. I’m currently looking for new opportunities where I can contribute my expertise in: - AI integration & LLM-powered applications - Full-stack web & mobile development - Automation, agents, workflows, and system design - MVP development and rapid prototyping I’d also love to collaborate with US-based professionals and teams working on innovative products and forward-thinking AI initiatives. If you’re building something exciting in AI, SaaS, or automation, I’d love to connect. 📌 Portfolio: https://oleksandr-zamrii.vercel.app/ 📌 Linkedin: https://www.linkedin.com/in/oleksandr-zamrii-3a6496361/

Hi everyone, I’m a Senior Software Engineer with over 10 years of experience in the IT field. I’m currently working with a U.S. based client, focusing on building scalable and high-performance web applications. I’m excited to be here and look forward to connecting and learning with you all.

For Optimisation, which of these coding languages are you using and why ? In the Classroom, all three approaches are taught : Python (using Pyomo), Xpress and GAMS. Each, is used to develop an optimisation model. Is there a better one? Is one for academia and one for industry?

Are there any reports, current documents, and reports related to the nuclear sector and SMR that you can recommend, as well as a synthesis of the nuclear situation within WEO 2025?