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print(“Python”)
“Python is the programming equivalent
of a Swiss Army Knife.”
— Some guy
Open source standards development is characterized by very open exchange, collaborative participation, rapid prototyping, transparency and meritocracy. The Python programming language is a high-level, interpreted language that is widely used for general-purpose programming. Python is known for its readability, simplicity, and ease of use, making it a popular choice for beginners and experienced developers alike. Python has a large and active community of developers, which has led to the creation of a vast ecosystem of libraries, frameworks, and tools that can be used for a wide range of applications. These include web development, scientific computing, data analysis, machine learning, and more.
Another important aspect of Python is its versatility. It can be used on a wide range of platforms, including Windows, macOS, Linux, and even mobile devices. Python is also compatible with many other programming languages and can be integrated with other tools and technologies, making it a powerful tool for software development. Overall, the simplicity, readability, versatility, and large community support of Python make it a valuable programming language to learn for anyone interested in software development including building automation.
As open source software, anyone may suggest an improvement to Python(3.X) starting at the link below:
Python can be used to control building automation systems. Building automation systems are typically used to control various systems within a building, such as heating, ventilation, air conditioning, lighting, security, and more. Python can be used to control these systems by interacting with the control systems through the building’s network or other interfaces.
There are several Python libraries available that can be used for building automation, including PyVISA, which is used to communicate with instrumentation and control systems, and PyModbus, which is used to communicate with Modbus devices commonly used in building automation systems. Python can also be used to develop custom applications and scripts to automate building systems, such as scheduling temperature setpoints, turning on and off lights, and adjusting ventilation systems based on occupancy or other variables. Overall, Python’s flexibility and versatility make it well-suited for use in building automation systems.
Design of a gateway for ubiquitous classroom
“King Nimrod ordering the construction of the Tower of Babel” (17th Century) Louis de Caullery
Smart classroom: Gateway for ubiquitous classroom
Hichem Bargaoui & Rawia Bdiwi
In educational environment, the use of new pedagogies such as collaborative learning requires an evolution from a traditional classroom model to active classroom. The students should be able to share resources to collaborate with each other through computers, tablets, or other devices. The design of smart classroom should enable the control of audiovisual equipments, projectors, interactive whiteboards, in order to facilitate interaction among teachers and students. Ubiquitous computing or pervasive computing is a concept where processors and sensors are embedded in various physical objects to form a network and communicate information. Applying the pervasive computing can facilitate the collaborative learning by creating a smart learning environment. The ubiquitous classroom should be able to support interaction of heterogeneous devices connected through wireless links to a gateway. This paper presents a model of classroom that makes several smart devices such as laptops, tablets, projectors connected through a gateway in order to encourage communication of information between learners and the smart environment. Also, the gateway manages classroom smart devices by automatic detection and connectivity and it serves as application execution platform. Finally the gateway allows the classroom to be remote managed as well as the remote integration of application.
Source: IEEE Explore
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
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