We take great care of our programming libraries, in particular of their ease of use. However, there is one spot where our libraries can be tricky: using our libraries from several threads. This week, we clarify and improve the situation.
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This week, we explain to people using Yoctopuce modules for the first time how to manage them with a Python program through a relatively simple but realistic example. Obviously, we assume that the said people have at least some idea of Python programming, but we explain everything else in details.
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Nowadays, most laboratory measuring tools have an RS232 port and/or a USB port, enabling you to drive them remotely. Usually, the manufacturers of this kind of instruments offer a proprietary software to drive them from a computer. This piece of software is usually more or less easy to use and not necessarily free. Obviously, it is tempting to get rid of the original software and to drive the devices on one's own. The question that we pondered this week was to know whether there was a universal way to drive this kind of equipment from an arbitrary software.
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The Yoctopuce API has several distinct mechanisms to optimize access to the sensors, through USB as well as through the network. In a previous post, we talked about the polling and callback methods and compared their respective advantages. Today, we offer a new intermediary method, enabling you to optimize access to some sensor attributes, when you can't do it with a callback.
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Node-RED is a visual programming language that can be used to connect various Web services, API or peripherals together. Node-RED can use data coming from a Web server, a MQTT broker, a mail server or even Twitter, but not from Yoctopuce sensors. That is, until yesterday...
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