The publisher mqtt_pub writes on the topic either dummy or real environment data it collects for its location. The client publishes the MQTT message in a loop. Libmosquitto library; Libsetila for Pi ...

Get practical explanations of key IT technologies, such as MQTT, containers and DevOps specifically from an operations technology perspective to help OT professionals understand concepts that are ...

So, you want to get better at Python? That’s cool. There are a ton of ways to learn, but honestly, just messing around with code and seeing how things work is a pretty solid approach. This article is ...

Abstract: In this paper, experimental comparison of five IoT used Internet based protocols is drawn. Applications such as UDP, TCP, HTTP, Websocket and MQTT are all built on the same program and ...

So, you want to learn Python, and you’re thinking YouTube is the place to do it. Smart move! The internet is packed with video lessons that can take you from zero to coding hero. But with so many ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...