DevOps & Cloud Solutions Architect skilled in AWS, Azure, GCP, CI/CD, multi-cloud strategy, and scalable infrastructure. Let me tell you something that every professional engineer knows, but nobody ...
In this post, I would like to organize my thoughts on memory optimization in Python, based on the article The Python __slots__ Trick That Cuts Memory Usage Dramatically, and Why Nobody Teaches It in ...
Travel support is covered as part of the ACCESS Support grant #2138286. ACCESS is an advanced computing and data resource program supported by the U.S. National Science Foundation (NSF) under the ...
In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python. We start by building a clean, idempotent logging setup that can ...
Turri, V., Schieber, N., Loughin, C., and Brooks, T., 2026: The ELM Library: An LLM Evaluation Toolset. Software Engineering Institute blog, Accessed July 15, 2026 ...
AssemblyAI builds advanced speech language models that power next-generation voice AI applications. Two years ago, building a production-grade voice bot meant hand-rolling WebSocket state machines, ...
In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress ...
From STEM classrooms to early-stage startups, the LiteWing Drone has found its way into the hands of students, makers, and engineers alike. Our goal with Litewing was to build this very same ecosystem ...
Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found only in Django 6.0. Django is a one-size-fits-all Python web framework that ...
Python MCP Servers make it easy to connect Large Language Models (LLMs) securely with real-world data and tools. The Model Context Protocol standardizes safe, efficient communication between AI models ...
sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. Through high levels of abstraction and integration, sensAI minimises overhead whilst ...
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