Video description
Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms. In this course, you'll learn to use RxPy, a lightweight Rx library, in Python data analysis workflows. It's designed for basic Python users who want to move beyond ad hoc data analysis and make their code geared toward a production environment, as well as for programmers familiar with Scala, Java 8, C#, Swift, and Kotlin who are interested in using the modern higher-order functional chain patterns from those languages.
- Gain detailed awareness of the benefits of reactive programming in data science
- Discover how to solve problems “the reactive way” using push-based versus pull-based iteration
- Understand why reactive programming produces strong, simple, resilient code models
- Learn to leverage RxPy for concurrency when cluster computing hardware is unavailable
- Master the use of RxPy and create more robust Python code for all your data science tasks
Thomas Nield is a senior-level business analyst for Southwest Airlines where he's developed multiple reactive applications that generate revenue for the airline's entire 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.
Publisher resources
Product information
- Title: Reactive Python for Data Science
- Author(s):
- Release date: January 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491978993
You might also like
book
Effective Java, 3rd Edition
Since this Jolt-award winning classic was last updated in 2008, the Java programming environment has changed …
book
Python for Data Analysis, 2nd Edition
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, …
book
JavaScript: The Definitive Guide, 7th Edition
JavaScript is the programming language of the web and is used by more software developers today …
book
Play for Scala
Play is a Scala web framework with built-in advantages: Scala's strong type system helps deliver bug-free …