Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# 2nd Edition by Rod Stephens (PDF)

Description

*** Source Code Note ***Note that this book includes downloadable source code in Python and C#. The code used in the text is in pseudocode. (It would have been much longer and hence more expensive if it included Python and C# code in the text.)A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated mathSteps through powerful algorithms that can be used to solve difficult programming problemsHelps prepare for programming job interviews that typically include algorithmic questionsOffers methods can be applied to any programming languageIncludes exercises and solutions useful to both professionals and studentsProvides code examples updated and written in Python and C#Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).

User’s Reviews

Editorial Reviews: From the Inside Flap Master the most useful algorithms and build your problem-solving skillsAlgorithms are the recipes that make efficient programming possible. Studying them lets you build a useful toolkit of methods for solving specific problems. Using Python and C#, this book introduces you to many classic algorithms, shows you where they work, and explains how to analyze them to understand their behavior. The study of algorithms also teaches general problem-solving techniques that make you a better programmer. You might find that this book not only helps you on the job, it may help you get the job. Learn useful algorithms includingNumerical algorithms: randomization, factoring, prime numbers, and numeric integrationMethods for manipulating common data structures: arrays, linked lists, and networksMore advanced data structures: heaps, trees, balanced trees, and B-treesLearn these and other problem-solving techniques:Brute force or exhaustive searchDivide and conquerGreedy algorithms and hill climbingLeast cost algorithmsHeuristicsConstricting bounds From the Back Cover Master the most useful algorithms and build your problem-solving skillsAlgorithms are the recipes that make efficient programming possible. Studying them lets you build a useful toolkit of methods for solving specific problems. Using Python and C#, this book introduces you to many classic algorithms, shows you where they work, and explains how to analyze them to understand their behavior. The study of algorithms also teaches general problem-solving techniques that make you a better programmer. You might find that this book not only helps you on the job, it may help you get the job. Learn useful algorithms includingNumerical algorithms: randomization, factoring, prime numbers, and numeric integrationMethods for manipulating common data structures: arrays, linked lists, and networksMore advanced data structures: heaps, trees, balanced trees, and B-treesLearn these and other problem-solving techniques:Brute force or exhaustive searchDivide and conquerGreedy algorithms and hill climbingLeast cost algorithmsHeuristicsConstricting bounds About the Author Rod Stephens began his career as a mathematician, but while at MIT he was lured into the intriguing world of algorithms and has been programming ever since. An award-winning instructor, he regularly addresses conferences and has written more than 30 books that have been translated into nearly a dozen languages. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Beware, this comment is evolving and will be edited as I continue to read this book. So far, so good. I have a background in computer science with various degrees of understanding in data structures, design patterns, discrete mathematics and computational theory. The book is easy to understand, employs enough theoretical information to explain an idea yet presents ideas in a practical manner.This book is meant to be used with any programming language (albeit I think it targets imperative and object-oriented programming languages). The author explicitly states that the accompanying example code is in C# and Python. The code examples are also in Python and C#. (As far as I have seen code examples in the text are not psuedocode.)(BTW, I may update this comment from time to time.)

⭐I purchased the Kindle format and I’m glad that I did. I looked through the book for any C# code; there was none. From the introduction, it says to use your favorite programming language. Then, why does it mention Python and C#? All the examples I saw were in pseudo-code. If you’re looking for something to talk about data structures and algorithms then is the book. But, don’t look for any real code.

⭐Had this book for a month and still reading in spare time. Please note the material is good but the cover was very misleading. Do not expect to find the examples written in python nor c#. They are written in a pseudo language. Not what I wanted at all. I had to go to their website to download the python and c# code. So now I have to have my laptop with me to look at the code for a particular algorithm. The cover should be clear that c# and python code is downloadable and not in the book. Very misleading.

⭐I like this book, because I am a .net developer and most of things in this book a Algorithms I learned in University, but the good here is there are some basic implementation of some Algorithms that I some time need to develop for specific cases and I use the book as inspiration for how the basic solution made, to boost my work. One thing I do not like is the publisher of this book have had issue with cut the paper, so some time I find pages that are stick together. It is fixable by putting a lineal and open it through. I will compare it to Algorithms Fourth Edition by Sedgewick/Wayne but in .net and python

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