programming

First about the idea: I decided to try to create my own laptop with using one of older laptops not useful for anything else. Idea was to find a cheap one on ebay with working LCD and keyboard, ignoring everything else.

Recently Pibakery has released an update with updated blocks, that changed quite a bit in comparison to previous versions and improved with several additions of the new building blocks or simplification of the previous ones.

Recently the problem I have encountered was that the master got broken, possibly due to broken commit. Therefore I was investigating what would be the best and most appropriate way of finding a solution.

As a growing company, we have decided to switch from externally managed CMS solution towards our own internally managed one. In this article, we will take you through our short journey of providing zero-downtime releases for our CMS in the world, where maintenance windows are they default options.

The following explanation of the code and how it works and how to connect TM1638 (with led array, display and button array) to Arduino. For IDE and project Initialization I used PlatformIO and due to that and since it makes lots of stuff easier it generates project in C++ with lots os useful configs pre-prepared and if your using Git you will find already prepared .

CODECOMBAT Cost: Free and Paid version ($9) Teacher support: YES **Description: ** It’s quite cool! Supported languages as seen on the picture are Python, JavaScript, CoffeeScript, Clojure and Lua.

Recently I was diving deep into Antipatterns and found them terribly interesting. Here is a list of quite many different sourced possible antipatterns and their wag abound descriptions. Big ball of mud: Simple way of saying it: An apocalyptic mess.

In this part of the code we are going in depth of overlays of previews and Google Vision API. The next part of the code will be properly commented so the read out should be easier

The following article is an example of using Google Vision API which was recently released by Google. The Vision API is capable of detecting smiles, winks and multiple faces in the picture, as well as providing multiple reference points from which you can define and use your own programmable detections and behaviours.

Sharing a smaller code snippet / mini tutorial / example since I have found it very useful in connection to HTML preview display of cam image or an uploaded image, depending on what you want really 🙂