Session Recording
About this Session
Scala provides a variety of number types: `Int`, `BigInt`, `Float`, `Double`, `BigDecimal`... and Spire adds a few types on top: `Rational`, `Real`, `Interval`. What are their use cases? What are the corresponding tradeoffs in robustness, precision, speed, memory, and availability of operations? How can we swap quickly between number types in a code base? How fast is Scala JVM/JS/Native compared to C++?
The visual benchmarks will be based on the Mandelbrot fractal.
Required Knowledge
In the Scala levels, a mix of A1 and L1; corresponds to the syntax covered in Functional Programming Principles in Scala, but with imperative code style.
The talk will introduce implicits and typeclasses but no prior knowledge is assumed.
Speaker(s)
I am a maintainer of the Spire library and a postdoctoral researcher at Perimeter Institute working on probabilistic models. I use Scala extensively in my research work and wrote Spire-based libraries to handle linear algebra, permutations or array-backed data structures. When not using Scala, I write code in MATLAB and curiously enjoy it. I participated at the 2018 Scala Spree at EPFL, and brought a small group of participants to their first Spire contribution.
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