Scio is Spotify’s open-source Scala API for Apache Beam and Google Cloud Dataflow. It’s used by data engineers at Spotify to process many petabytes of data each day. Let’s look at the different joins it supports and how and when to use each.
While you can take great stereoscopic pictures with a smartphone using sequential shots, as I described in the first and second parts of this three-part series on smartphone stereo photography, sometimes you want to capture a three-dimensional scene in motion. Even that’s possible but you do need additional gear, for instance the Kúla Bebe.
There are a few subtle changes between Scala 2.11 and 2.12/2.13 when it comes to conversions between Java and Scala types that you may not be aware of: nullable boxed primitives, such as numbers.
Algebird, Cats, and Scalaz are Scala libraries that provide, among other things, type classes that are based on algebraic constructs, such as groups, rings, and monoids. Contrary to what I had initially believed, perhaps naively, these libraries do not perform compile- (or run-)time checks on the laws governing these algebraic structures, which means it’s possible to create a class that is an instance of such a type class, but it violates the laws of that type class.
Stereoscopic photography is possible with very simple tools: a viewer and a camera. In this post we’ll take a look at common mistakes beginners make, how to spot them, and how to fix these problems, so your stereo images look great.
3D and VR may sound like recent inventions, but the former has been around since the mid-1800s. Stereoscopic cards were extremely popular in Paris in the 1860s (e.g. Les Diableries). In a series of posts I’ll focus on how stereoscopic imaging works, how to create stereoscopic images with any camera or smartphone, and what mistakes beginners tend to make and how to avoid them.