Scala 3 and Spark?

After the release of Scala 3, one of the most common questions asked by developers was: “When will we be able to write Spark jobs using Scala 3?”. Up till now, the answer was: “Not yet” but everything changed after the release of Spark 3.2.0, which brought Scala 2.13 support.

pandas-stubs — How we enhanced pandas with type annotations

#Machine Learning

Handling big, nested, and growing table schemas in data pipelines

#big data #Data

Friction-less Scala

Read about our commitment to the development of Scala 3 and its ecosystem.

#friction #Scala #scala3

Story of importing a large dataset to Akka Cluster

#akka #Cluster #Data

Keep your CI/CD infrastructure alive with Jenkins Operator

#CI/CD #jenkins #JenkinsOperatorService #Kubernetes

Semantic Code Graph — the idea behind Graph Buddy

Graph Buddy is an experimental tool created to visualize code structure as 2D/3D graphs. It aims to support code comprehension processes and speed up reading and browsing the source code. However, that is only one of the many yet-to-come uses of the broader idea of Semantic Code Graphs.

#graph #graphbuddy #semanticcodegraph

Dokka behind the scenes — documenting multi-module projects

#Dokka #kotlin

TASTY way of (re)writing macros in Scala 3

#Scala

From simple recipe to flow graph in the factory [reference architecture]

Modelling the supply chain inside the factory seems like an overwhelming task. Encoding the reality of complex multi-stage specifications, internal logistics, keeping plan up-to-date and product deliveries just-in-time in bounds of some computer program can be hard, but I’ll try to show that by dividing the problem and with graphs as a tool we can create an elegant structure that is pretty extensible and can be understood by both developers and factory management.

#factory #graph #supplychain
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