by Thomas Nield | Released November 2017 | ISBN: 9781491998274

Kotlin is a JVM platform language that fills two practical data science needs: you can use it to prototype models quickly, then effectively move those models into production. Data science values languages that provide a fast turnaround. This is why R and Python are the usual language choices for the data science domain. However, as data science continues to integrate into mainstream software development workflows, a gap has appeared. It's one thing to hack together a proof-of-concept model; it's another to move it into the “business is evolving and models must be refactored” world of production. Kotlin closes the gap. Backed by Jetbrains and Google, Kotlin expands on the simplicity, conciseness, and elegance of Python, but carries the power, robustness, and scalability of Java and Scala. In this course, you'll get a detailed overview of Kotlin and discover why it's becoming the go-to practical language of choice for production-oriented data scientists and engineers. Learners should have Intellij IDEA and JDK, Python experience, and a little experience with basic analytics (Pandas, R, Excel, SQL, etc.).Learn about Kotlin, the emerging language of choice for data science and analyticsUnderstand the data science software-engineering gap and see how Kotlin can close itDiscover how well Kotlin moves models from proof-of-concept to productionMaster the distinctions among Kotlin, Scala, and Python; then see why data engineers choose KotlinLearn how to utilize Kotlin's tooling and environment with Intellij IDEADiscover how Kotlin's innovative nullable type system avoids null-related runtime errorsExplore how static typing and object-oriented programming make clear, bug resistant modelsGain experience using Kotlin for data science purposes like functions and data classesThomas Nield is a senior-level business analyst for Southwest Airlines where he's developed multiple reactive applications that generate revenue for the entire airline network. A master programmer working in Java, Kotlin, ReactiveX, Python, and database design, Thomas writes a popular blog covering ReactiveX concepts, maintains RxJavaFX and RxKotlinFX, and is the author of the O'Reilly title Getting Started with SQL. Show and hide more

1. Introduction 00:01:01
2. Mission and Agenda 00:01:33
3. Reading Text Files 00:05:43
4. SQL Databases 00:07:30
5. Working with Web Requests and Lazy Properties 00:03:43
6. Understanding Higher Order Functions 00:05:09
7. Lambda Syntax in Depth 00:04:30
8. Generic Types 00:06:22
9. Sequences 00:04:11
10. The "let()" and "apply()" Operators 00:06:35
11. Extension Functions and Properties 00:06:09
12. Extension Operators 00:02:47
13. Leveraging DSL's 00:05:31
14. Ranking Mutual Friends in a Social Network 00:08:44
15. Using Kotlin with Apache Spark 00:09:24
16. Using Kotlin Statistics 00:06:26
17. Doing Matrix Work with ND4J 00:05:30
18. Interactive UI's TornadoFX 00:11:32
19. Deploying your Kotlin App 00:05:09
20. Furthering Your Knowledge of Kotlin 00:05:26
Show and hide more