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The new MQTT architecture has been realized in an easy extensible, modular way. The different bundles are fully test covered to live up to the high coding standards of openHAB.
Sample apps are examples of working code that you can browse, run, and learn from to get started developing your own Google Cast app.
This reference provides the following API documentation for send and receiver applications.
LIRC is a package that allows you to decode and send infra-red signals of many (but not all) commonly used remote controls.
Recent linux kernels makes it possible to use some IR remote controls as regular input devices. Sometimes this makes LIRC redundant. However, LIRC offers more flexibility and functionality and is still the right tool in a lot of scenarios.
The most important part of LIRC is the lircd daemon which decodes IR signals received by the device drivers and provides the information on a socket. It also accepts commands for IR signals to be sent if the hardware supports this.
The user space applications allows you to control your computer with your remote control. You can send X11 events to applications, start programs and much more on just one button press. The possible applications are obvious: Infra-red mouse, remote control for your TV tuner card or CD-ROM, shutdown by remote, program your VCR and/or satellite tuner with your computer, etc. Using lirc on Raspberry Pie is quite popular these days.
Python 2.7 will not be maintained past 2020. Originally, there was no official date. Recently, that date has been updated to January 1, 2020.
We need to connect to the serial programming interface of the ESP8266 chip. This is done by connecting our serial-to-USB converter TX and RX pins to the ESP8266 RX and TX pins and powering the chip with the 3.3V and GND pins.
A README is a crucial but basic way of documenting your project. While every project should at least have a README, more involved ones can also benefit from a wiki or a dedicated documentation website.
Open source licenses grant permission for anybody to use, modify, and share licensed software for any purpose, subject to conditions preserving the provenance and openness of the software. The following licenses are sorted by the number of conditions, from most (GNU AGPLv3) to none (Unlicense). Notice that the popular licenses featured on the home page (GNU GPLv3 and MIT) fall within this spectrum.
When you create a log source extension, you might encounter some parsing issues. Use these XML examples to resolving specific parsing issues.
Application security is vitally important for every software project, especially so for security projects. This is why the validation process for QRadar app submissions go through a secure engineering review. As a member of the secure development team, this blog post will hopefully give you (the app developer) some insight regarding what to expect during our app validation process.
The online community for SysAdmins and DevOps
Votre environnement Cloud Shell est un conteneur Docker. Le conteneur est démarré par défaut à partir d'une image Docker gérée par Google, mais vous pouvez aussi spécifier une image Docker personnalisée pour votre environnement Cloud Shell. La personnalisation s'effectue en deux étapes :
Localisez une image Docker pertinente. Notre outil Créer une image personnalisée peut créer une image personnalisée standard que vous pouvez utiliser comme point de départ pour votre image.
Modifiez votre environnement afin de référencer l'image souhaitée.
An implementation of the Chromecast CASTV2 protocol - thibauts/node-castv2
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To test your htaccess rewrite rules, simply fill in the url that you're applying the rules to, place the contents of your htaccess on the larger input area and press "Test" button.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is now a lesson project within The Carpentries, having merged with Software Carpentry in January, 2018. Data Carpentry's focus is on the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are domain-specific, and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.
Rex eats regular expressions for breakfast. And so can you! This regex tutorial, one of the most detailed on the web, takes you all the way to mastery.
This page explains what makes this site special among all other regex sites, but first let's answer a burning question:
What is the meaning of life?
That's easy. As per the regex humor page, it's simply
^(?=(?!(.)\1)([^\DO:105-93+30])(?-1)(?<!\d(?<=(?![5-90-3])\d))).[^\WHY?]$
Now for the other burning question…
We ultimately architected UberEATS in much the same way as we would a regular React /Redux web app, eschewing iOS patterns and modules wherever possible. Fortunately for our needs and preferences, web concepts and technologies on the whole translate quite nicely to native development.