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Clojure High Performance Programming, Second Edition

You're reading from Clojure High Performance Programming, Second Edition Become an expert at writing fast and high performant code in Clojure 1.7.0

Product type Paperback

Published in Sep 2015

Publisher

ISBN-13 9781785283642

Length 198 pages

Edition 2nd Edition

Languages

Clojure

Concepts

High Performance Programming

Author (1):

Shantanu Kumar

View More author details

Table of Contents (10) Chapters

Preface

1. Performance by Design FREE CHAPTER

2. Clojure Abstractions

3. Leaning on Java

4. Host Performance

5. Concurrency

6. Measuring Performance

7. Performance Optimization

8. Application Performance

Index

Chapter 3. Leaning on Java

Being hosted on the JVM, there are several aspects of Clojure that really help to understand about the Java language and platform. The need is not only due to interoperability with Java or understanding its implementation, but also for performance reasons. In certain cases, Clojure may not generate optimized JVM bytecode by default; in some other cases, you may want to go beyond the performance that Clojure data structures offer—you can use the Java alternatives via Clojure to get better performance. This chapter discusses those aspects of Clojure. In this chapter we will discuss:

Inspecting Java and bytecode generated from a Clojure source
Numerics and primitives
Working with arrays
Reflection and type hinting

The rest of the chapter is locked

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Authors (1)

Kumar

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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