Scala for Data Science by Pascal Bugnion

Scala for Data Science



Download Scala for Data Science

Scala for Data Science Pascal Bugnion ebook
Format: pdf
Publisher: Packt Publishing
ISBN: 9781785281372
Page: 183


How Python became the language of choice for data science So nowadays I'm doing most my work in Scala and Java. This API is inspired by data frames in R and Python (Pandas), but designed APIs for Python, Java, Scala, and R (in development via SparkR). Data Scientists and Data Engineers like Python and Scala. Which other tools have good Scala support? The scala tag has no usage guidance. There is clearly a market for a good book about using Scala for statistical computing, machine learning and data science. Apache Spark Essentials (Python or Scala); Data Science with Apache Spark; Advanced: Exploring Wikipedia with Spark (Tackling a unified use case). There are 4 remote data science + ruby + scala jobs at startups like CrowdFlower , Simply Business and Decision Science Labs. This is the second blog in our series about Data Science and Apache Hadoop. I know that Spark is fully integrated with Scala. Contribute to scala-data-science development by creating an account on GitHub. Scala and its ecosystem deserve a place in every data engineer's toolbox. I am very new to Scala and Spark, and am working on some self-made exercises Data Science Tools Using Scala. Scala and Spark are each great tools for data processing and they work well together. It's use case is specifically for large data sets. The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala.





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