Scala for Data Science Pascal Bugnion
Publisher: Packt Publishing

Edit: Taking you mean statically typed with "compiled like Java/Scala" Depends what you want to do. Upcoming SlideShare Loading in 5 × Scala and Spark are Ideal for Big Data - Data Science Pop-up Seattle 1. Top Stories How to choose a NoSQL analytics system Tue, 15 Sep 2015 10:00: 00 GMT – John A. Data Science has a reputation for being complicated, but with the help of Scala and Scalding most patterns can be significantly simplified. Combined with Spark's dataframes, ND4J is making real data science viable in Scala. Mathematician, Data Scientist, and Nonsense (by Stephanie) Convert an RDD to a DataFrame in Spark using Scala. Spot recruitment of Golang, Scala, Java, C++, Algorithms, Accuracy and Validation Engineers / Quality Scientists. How Python became the language of choice for data science So nowadays I'm doing most my work in Scala and Java. Have a good, well-designed library for scientific computing, including non-uniform random number generation and linear algebra. I'm interested in statistics, machine learning, natural language processing, json manipulation, and linear and abstract algebra. Data loves a data driven world, which Scala accomplishes with Pattern Matching. And now, finally, this blog entry is completely dedicated to Apache Spark with examples in Scala and Python. I have textRDD: org.apache.spark.rdd. There has been a lot of discussion on-line recently about languages for data analysis, statistical computing, and data science more generally. Contribute to scala-data-science development by creating an account on GitHub.