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Mastering Clojure

You're reading from   Mastering Clojure Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructs

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785889745
Length 266 pages
Edition 1st Edition
Languages
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Author (1):
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Akhil Wali Akhil Wali
Author Profile Icon Akhil Wali
Akhil Wali
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Table of Contents (14) Chapters Close

Preface 1. Working with Sequences and Patterns FREE CHAPTER 2. Orchestrating Concurrency and Parallelism 3. Parallelization Using Reducers 4. Metaprogramming with Macros 5. Composing Transducers 6. Exploring Category Theory 7. Programming with Logic 8. Leveraging Asynchronous Tasks 9. Reactive Programming 10. Testing Your Code 11. Troubleshooting and Best Practices A. References
Index

Understanding transducers

Transducers are essentially a stack of transformations that can be composed and applied to any representation of data. They allow us to define transformations that are agnostic of implementation-specific details about the source of the supplied data. Transducers also have a significant performance benefit. This is attributed to the avoidance of unnecessary memory allocations for arbitrary containers, such as sequences or other collections, to store intermediate results between transformations.

Note

Transducers have been introduced in Clojure 1.7.

Transformations can be composed without the use of transducers as well. This can be done using the comp and partial forms. We can pass any number of transformations to the comp function, and the transformation returned by the comp function will be a composition of the supplied transformations in the right-to-left order. In Clojure, a transformation is conventionally denoted as xf or xform.

Note

The following examples can be...

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