Pawel Szulc
Paul Szulc is primarily a programmer. Always was and always will be. Experienced professionally in JVM ecosystem, currently having tons of fun with Scala, Clojure and Haskell. By day working on (not that) BigData problems with Akka Stream & Apache Spark, by night hacking whatever he finds interesting at that given moment. Humble apprentice of Functional Programming.
Runs a blog http://www.rabbitonweb.com Paul started doing conference talks back in 2008, but I've been active speaker at local meetups even earlier. I've presented at such conferences as Devoxx, Scalar, LambdaConf, Voxxed Vienna, Lambda Days, Geecon, 33rd Degree, Confitura and DevCrowd.
Talks I've Given
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Intro to Haskell for Scala Devs
Featuring Pawel Szulc
What is functional programming? No assignment statements, no variables, once given a value never change, no side-effects at all. “The functional programmers sound like a small monastery of mediæval monks, denying themselves the pleasures of life.”.
functional-programming haskell scala -
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Know your platform. 7 things every Scala developer should know about JVM
Featuring Pawel Szulc and Barlomiej Kaflowski
Your Scala code can be cohesive, beautiful and fully functional. But at the end of the day, it runs on the JVM - powerful platform which also has its limits.
scala jvm-languages -
Monads - Asking The Right Question
Featuring Pawel Szulc
When entering the world of functional programming, one is quickly introduced with a concept of a Monad. Concept that is for some reason really hard to grasp and comprehend. When querying the Internet for "What is a Monad?" you will most likely learn that "you do not need to know...
#scala #functional-programming -
Apache Spark - Living the post-mapreduce world
Featuring Pawel Szulc
"Apache Spark is a fast and general engine for large-scale data processing." Above statement is taken from Apache Spark welcome page. It's one of those definitions that, while describing the product in one sentence and being 100 % true, still tells the wondering noob very little.
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scala apache-spark data-analytics