In the world of IT, it’s said that some documentation is better than no documentation. While that’s true, you can still encounter quite a lot of difficulties when working with any given documentation. That’s why a tool named Jazzy exists. Jazzy is a tool that can generate documentation with a single command. It saves you time and gets rid of the need for lengthy “rewrites” of the code for people who want to understand it. Let’s have a look at how this handy tool works.
Sometimes, in a developer’s life, there appears a tool which can significantly facilitate mutual communication. A tool one can use to prevent a burst of anger and uncontrollable rage. One of these lifesavers is this beautiful linter I will briefly introduce to you today.
In 2012, a technology that can process signals which are close to the noise level while operating in license-free bands was born. How does LoRa (Long Range) and LORAWAN work? What are their pros and cons, and usages in real life?
First, let’s take a look at a technology which was developed in the Czech Republic. Introduced to the world fifteen years ago, it uses radio frequency for communication. How does it work exactly and what are its pros and cons? How much does it all cost and what is its best use? And do you know what IQRF Alliance is?
Recently, you may have been hearing words like IoT, narrowband, Sigfox, IQRF, or LoRaWAN. What does all that mean? Well, it means that the time for devices that are usually quite small, connected to the internet, and can work on their own without the need of any interference of a third party, has come. (They’ve been here for a few years now...) These properties are summarized by an acronym LPWAN (low-power wide-area network).
The user enters her smart car. Her favorite playlist starts playing, a message is sent to her family, a notification of low fuel pops up with a suggested gas station that has the lowest prices and is along the way. This isn’t Sci-Fi, this is an everyday reality. What technologies make this possible and why is infotainment the most important part?
Artificial intelligence has almost unlimited potential and it’s being used more every day. That’s why it’s important to get to know it. We’ll show you how to train AI using a convolutional neural network so it can recognize an eMan duck in a mobile app. Let’s get down to business!
We already know how to create dialogues and use Dart. In the last article of this series, we will finally get to the creation of a more complex app. We’ll also discuss how to tackle the support of a platform dependent app. Let’s do this!
“To repeat the selection, press star.” Automated voices and being on hold tend to irritate most of us. For quite a long time, self-service apps were considered a nice plus but nowadays they are becoming the foundation of outstanding customer care. Why is that and what can be done about it?
The last article of this series will present the fingerprinting method. It does not use actual fingerprints but rather prints of wireless networks around a building. This will allow us to determine a location with a to-the-room accuracy in the building. Let’s see how it’s done!