“Being an artist means not numbering and counting, but ripening like a tree, which doesn’t force its sap, and stands confidently in the storms of spring, not afraid that afterward summer may not come. It does come. But it comes only to those who are patient, who are there as if eternity lay before them, so unconcernedly silent and vast.”
Today at the usual time we run a status check on the technical literature informing best practice for remote/hybrid working, teaching, learning and lively art performance. We start with the following incumbent standards developers primarily involved with hardware interoperability permanently installed in the built environment (classrooms, studios, auditoriums and the like) for which stewards of physical assets are responsible.
We generally avoid spending any time on content creation and distribution by United States propaganda outlets – which includes the vast network of national public radio stations domiciled in educational settlements (and partially funded by the US federal government).
As time permits we will review the blistering pace of development in platforms for teleconferencing, security, presentation software, academic content management systems — a domain moving too quickly for our resources but important to understand and navigate.
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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.
.@PyCon US 2025 is a wrap, and our hearts are full with #Python community love! Thanks to every single one of you who organized, volunteered, attended, & sponsored 🐍🫶 #PyConUS
The PSF office will be closed May 26-28 so our staff can rest & recover. See you back online soon! pic.twitter.com/Sy1hiRmvw4
— Python Software Foundation (@ThePSF) May 27, 2025
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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/njrDAbSpwBpic.twitter.com/GkAXrHoQ9T