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Description

Data-structures and algorithms often cross your path when you compress files, compile programs, access databases, or simply use your favourite text editor. Understanding and implementing them can be daunting. Curious learners and industrial developers can find these complex, especially if they focus on the detailed implementation of these data structures. Clojure is a highly pragmatic and expressive language with efficient and easy data manipulation capabilities. As such, it is great for implementing these algorithms. By abstracting away a great share of the unnecessary complexity resulting from implementation, Clojure and its contrib libraries will help you address various algorithmic challenges, making your data exploration both profitable and enjoyable. Through 25 recipes, you'll explore advanced algorithms and data-structures, well served by a sound Clojure implementation. This book opens with an exploration of alternative uses of the array data-structure, covering LZ77 compression, drawing fractals using Pascal's triangles, simulating a multi-threaded program execution, and implementing a call-stack winding and un-winding operations. The book elaborates on linked lists, showing you how to construct doubly linked ones, speed up search times over the elements of such structures, use a linked-list as the foundation of a shift-reduce parser, and implement an immutable linked-list using skew binary numbers representation. After that, the tree data-structure is explored, focusing on building self-balancing Splay Trees, designing a B-Tree backing-up an efficient key-value data-store, constructing an undo capable Rope, and showing how Tries can make for an auto-completing facility. Next, some optimization and machine learning techniques are discussed, namely for building a co-occurrence-based recommendation engine, using branch-and-bound to optimize integral cost and profit problems, using Dijkstra's algorithm to determine optimal paths and summarizing texts using the LexRank algorithm. Particular attention is given to logic programming, you will learn to use this to discover interesting relations between social website data, by designing a simple type inferencer for a mini Java-like language, and by building a simple checkers game engine. Asynchronous programming will be addressed and you will design a concurrent web-crawler, an interactive HTML5 game, and an online taxi booking platform. Finally, you'll explore advanced cases for higher order functions in Clojure while implementing a recursive descent parser using efficient mutual resucrsion, devising a mini resusable firewall simulator thanks to Clojure 1.7 new tansducers feature or building a simple unification engine with the help of Continuation Passing Style.

Who is this book for?

This book is for intermediate Clojure developers who can read and write in this language quite comfortably. Besides, it is assumed that you have some knowledge of how to set up Clojure projects, include dependencies, how to run REPLs, and so on through Leiningen and Figwheel. No prior awareness of any of the algorithms covered in this book is needed, and, when appropriate, pointers are given to the explanation material about any theory related to them.

What you will learn

Explore alternative uses of classical data structures such as arrays and linked lists

Explore advanced machine learning and optimization techniques

Utilize the Clojure libraries, such as Instaparse for parsing, core.match for pattern matching, clojure.zip for zippers, and clojure.matrix for matrix operations

Learn logic programming through the core.logic library

Master asynchronous programming using the core.async library

Observe transducers while resolving realworld use cases

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Clojure Data Structures and Algorithms Cookbook

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Kindle Customer Dec 08, 2021

This is a very good book. It covers a lot of intermediate to advanced topics and the community needs more affordable books like this. On the other hand, beware of that before you buy because this is not an introduction to algos and data structures, and it's not an introduction to clojure. If you're not already very familiar with the basics you may have problems. Also beware that this is written in a cookbook style. Each recipe start with a few paragraphs explaining the problem that's about to be solved and laying out a plan to solve it. Other than that it's mostly code with a lot of comments explaining the step by step process. On top of that, the code is fairly idiomatic which makes it dense and terse.It's not a perfect book and there are some typos / errors in the code, but if you follow it carefully you'll figure it out. Hopefully someday Packt will have a system for distributing errata for all its books. The recipes go into a lot of depth and its difficult to find many books on the topics presented here so I think it was definitely worth it.

Amazon Verified review

Steven Oct 26, 2015

This book contains many recipes for common task in Clojure, from array/list to graph traversing. The source code used in the book is open-sourced under Eclipse public license (same a the Clojure language itself). The author did a good job of being pedagogical. Each recipe is explained step by step, so you know why each step is being done that way. There are seven chapters, each covering a different area. Overall it is great book. Recommend it for anyone who what a toolbox for solving problems using Clojure.

Konstantinos Passadis Sep 25, 2015

This book covers a broad range of algorithms, all written in clojure, in a cookbook style (as indicated in the title). This book is not for the faint of hearted. To understand the code (eventhough every piece of code is analytically explained as it is accompanied by commentary) you need to be an intermediate clojure programmer. No intro to clojure is provided. Also don't get fooled by the size of the book. In reality it is a dense book, not an easy read. However, the algorithms presented are interesting and it is exciting to see (finally) some compilation of algorithms written in clojure. After finishing the book you will feel an advanced clojure developer. I particularly liked chapter 3 (trees) and chapter 7 (transducers - clojure 1.7). You will certainly find this an exciting read - 5 stars.

Amazon Customer Sep 20, 2016

horrendously written with unreadable code snippets. if you want to pursue data structures and algorithms in clojure, download the books free sample, and use the table of contents as a guide on "what to google" because I guarantee you the chapters do nothing to illuminate the table of contents.

Clojure Data Structures and Algorithms Cookbook: 25 recipes to deeply understand and implement advanced algorithms in Clojure

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