Published by: Pragmatic Bookshelf | Publication date: 08/03/2017Kindle book details: Kindle Edition, 222 pages
Table of Contents: goo.gl/VLEUcaSample Chapter: goo.gl/8AEcYkSource Code: goo.gl/L8XxdtIt is the Python version of "Data Structures and Algorithms Made Easy".The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style.This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jumpstart to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.
Published by: CareerMonk Publications | Publication date: 01/06/2017Kindle book details: Kindle Edition, 476 pages
Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful. Educational Supplement Suggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.
Published by: Sams Publishing | Publication date: 09/06/2017Kindle book details: Kindle Edition, 800 pages
This book is about the usage of Data Structures and Algorithms in computer programming. https://github.com/Hemant-Jain-Author/Problem-Solving-in-Data-Structures-Algorithms-using-PythonDesigning an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques.Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking.In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
Publication date: 01/18/2017Kindle book details: Kindle Edition, 413 pages
Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiUSample Chapter: goo.gl/n2Hk4iFound Issue? goo.gl/forms/4Gt72YO81IVideos: goo.gl/BcHq74"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.
Publication date: 01/13/2017Kindle book details: Kindle Edition, 432 pages
This is not a freaking textbook. No confusing academic jargon. No long lists of properties to memorize. No proofs. Because that stuff doesn’t help you actually get it. Here’s what does: Learning what to picture in your head when you think of a dynamic array or a hash map. Learning how to think in algorithms. That’s what this guide is focused on— giving you a visual, intuitive sense for how data structures and algorithms actually work. So if you’ve got a big coding interview coming up, or you never learned data structures and algorithms in school, or you did but you’re kinda hazy on how some of this stuff fits together... This guide will fill in the gaps in your knowledge and make you say, "Oooh, that’s how that works." We’ll walk you through it all, step by step. Starting from the beginning.This illustrated introduction to algorithms is brought to you by Interview Cake, the best way to prepare for your technical coding interviews. Here's what some of our users have to say:"It feels very surreal that I did well on a Google interview. Your website taught me more about algorithms (and in a way that I retained the information) than any boring college class. Thank you *so much* for making Computer Science fun again."— Rabeea (got the job at Google)"I wish I had known about this website back when I was in algorithms class in college. This made me finally understand concepts that had eluded me for years."— Luna (got the job at Google)"They just called and told me I passed! The interviewer was very impressed by my algorithms and data structures knowledge and it was all thanks to your website."— Maria (got the job at Amazon)
Publication date: 07/09/2018Kindle book details: Kindle Edition, 432 pages
Peeling Data Structures and Algorithms [re-printed on 19-August-2016]:Table of Contents: goo.gl/hMYJGqSample Chapter: goo.gl/DqVs8pSource Code: goo.gl/e3imfVVideos: goo.gl/BcHq74A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities.Topics Covered:IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language?All code was written in Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy".Note: If you already have "Data Structures and Algorithms Made Easy" no need to buy this.Also, check out sample chapters and the blog at: CareerMonk.com
Published by: CareerMonk Publications | Publication date: 01/09/2017Kindle book details: Kindle Edition, 450 pages
Publication date: 05/26/2017Kindle book details: Kindle Edition, 623 pages
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 efficient Clojure source files indexer, and an online taxi booking platform.Finally, you’ll discover how higher order functions can be used in Clojure to achieve compoundable and reusable transformations including tweaking nrepl to deliver evaluations by e-mail and simulating a firewall or a mail inbox processor using new Clojure 1.7's transducers.
Published by: Packt Publishing | Publication date: 09/03/2015Kindle book details: Kindle Edition, 218 pages
Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures
Exploring the major features and packages of Go, along with its types and data-structures, enabling the reader to write threadsafe, concurrent cloud, and network applicationsKey Features
Go and the Operating System Understanding Go Internals Working with Basic Go Data Types The Uses of Composite Types Enhancing Go Code with Data Structures What You Might Not Know About Go Packages Reflection and Interfaces for All Seasons Telling a Unix System What to Do Go Concurrency – Goroutines, Channels, and Pipelines Go Concurrency – Advanced Topics Code Testing, Optimization, and Profiling The Foundations of Network Programming in Go Network Programming – Building Servers and Clients
- Not your typical introduction to the Golang programming language
- Exploring Golang cradle to grave, completes the developer’s Golang education
- A thorough exploration into the core libraries and Golang features, that usually are taken for granted
- In depth explanation, detailing the rationale behind composite data types, Golang concurrency, and the Golang networking library
- Understand the design choices of Golang syntax
- Know enough Go internals to be able to optimize Golang code
- Appreciate concurrency models available in Golang
- Understand the interplay of systems and networking code
- Write server-level code that plays well in all environments
- Understand the context and appropriate use of Go data types and data structures
Published by: Packt Publishing | Publication date: 04/30/2018Kindle book details: Kindle Edition, 606 pages