- Scientific Computing with Scala
- Vytautas Jan?auskas
- 199字
- 2021-07-16 11:07:22
What this book covers
Chapter 1, Introducing Scientific Computing with Scala, looks into the feasibility of using Scala for scientific computing. An overview of the state-of-the-art libraries and tools in Scala scientific computing is given here.
Chapter 2, Storing and Retrieving Data, provides various options for storing and retrieving data in Scala. Popular data storage and retrieval formats that you may encounter in scientific computing are explored.
Chapter 3, Numerical Computing with Breeze, is about using the Breeze library for numerical computing.
Chapter 4, Using Saddle for Data Analysis, explores the functionality of the Saddle library for structured data analysis and manipulation.
Chapter 5, Interactive Computing with ScalaLab, explores the possibilities offered by the ScalaLab environment for interactive computing.
Chapter 6, Parallel Programming in Scala, is about parallel programming in Scala. Various techniques, including JVM threads, parallel collections, and actor-based concurrency with Akka, are covered.
Chapter 7, Cluster Computing Using Scala, teaches how to use Scala programs in distributed computing environments and shows how to use MPI from Scala, and more.
Chapter 8, Scientific Plotting with Scala, gives various options for carrying out plots in Scala.
Chapter 9, Visualizing Multi-Dimensional Data in Scala, elaborates on advanced plotting and visualization.
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