Algorithms are language agnostic, and any programmer worth their salt should be able to convert them to code in their programming language of choice. Unfortunately, I have come across several programmers who are

Once, I come across a perfect candidate for a core Java senior developer role, He was excellent in Java, multi-threading but his data structure and algorithm skill were penniless to his experience and caliber.

When I asked him why he didn't spend time brushing his algorithm and problem-solving skill before coming to the interview? His excuse was,

He was somewhat right; you don't need to implement a hashtable in Java; you can always use the HashMap class or Dictionary in Python for that sense, but he failed to recognize the more long-term improvement algorithm and data structure do in improving programming skill.

Algorithms are tools for developing programming solving skills and coding sense, which is required to convert a user requirement into a line of code, also known as a computer program.

They are also all around, if you use Facebook, have you ever thought about how they find your friends so quickly? Or how does Netflix recommends the movie you want to watch? Those are just a couple of examples of Machine Learning Algorithms, which are taking Algorithms to another level.

##

Another gold tip to those who think that Algorithms are Data Structures is for those who want to work in Amazon, Google, Facebook, Intel, or Microsoft; remember it is the only skill that is timeless, of course, apart from UNIX, SQL, and C.

Programming languages come and go, but the core of programming, which is algorithm and data structure remains the same.

If you know how a hash table works, then you can use their implementation in any programming language like HashMap from JDK, Dictionary in Python, or HashMap from the C++ boost library.

So, if you are serious about programming and realizing now that algorithms and data structure is not optional, here are some of the great books to learn algorithms.

Some of you might have already read them before, but they are worth reading again.

###

This is one of the most popular algorithm books, but be aware that it contains a heavy dose of theory. The current edition of this book is 4th Edition, and I strongly suggest that every programmer should have this on their bookshelf, but only for short reading and references.

*REALLY*good at programming languages like Java or Python, like know minor details of API and language intricacies but have very poor knowledge of the fundamentals of Algorithms and Data Structure. Just ask them to implement any popular sorting algorithms like quicksort or merge sort, and they will fall apart. If you expect them to know more advanced and sophisticated algorithms like String processing algorithms, graph algorithms, tree traversal, or greedy algorithms, be ready to check on Interviews; otherwise, you might end up with some surprises.Once, I come across a perfect candidate for a core Java senior developer role, He was excellent in Java, multi-threading but his data structure and algorithm skill were penniless to his experience and caliber.

When I asked him why he didn't spend time brushing his algorithm and problem-solving skill before coming to the interview? His excuse was,

*"those algorithms are just for meetings and never really used in practical coding. I have never used them in my 6 years of Java development career. "*He was somewhat right; you don't need to implement a hashtable in Java; you can always use the HashMap class or Dictionary in Python for that sense, but he failed to recognize the more long-term improvement algorithm and data structure do in improving programming skill.

Algorithms are tools for developing programming solving skills and coding sense, which is required to convert a user requirement into a line of code, also known as a computer program.

They are also all around, if you use Facebook, have you ever thought about how they find your friends so quickly? Or how does Netflix recommends the movie you want to watch? Those are just a couple of examples of Machine Learning Algorithms, which are taking Algorithms to another level.

##
__10 Algorithm Books - Must Read for Developers__

Another gold tip to those who think that Algorithms are Data Structures is for those who want to work in Amazon, Google, Facebook, Intel, or Microsoft; remember it is the only skill that is timeless, of course, apart from UNIX, SQL, and C.Programming languages come and go, but the core of programming, which is algorithm and data structure remains the same.

If you know how a hash table works, then you can use their implementation in any programming language like HashMap from JDK, Dictionary in Python, or HashMap from the C++ boost library.

So, if you are serious about programming and realizing now that algorithms and data structure is not optional, here are some of the great books to learn algorithms.

Some of you might have already read them before, but they are worth reading again.

###
**1. Introduction to Algorithms 4th Edition by Thomas H. Corman**

This is one of the most popular algorithm books, but be aware that it contains a heavy dose of theory. The current edition of this book is 4th Edition, and I strongly suggest that every programmer should have this on their bookshelf, but only for short reading and references.This book is also commonly referred to as CLRS (named after its authors Cormen, Leiserson, Rivest, and Stein), is a seminal textbook in the field of computer science. Now in its fourth edition, this comprehensive and authoritative resource provides an in-depth exploration of fundamental algorithms and data structures.

This book is also the gold standard in data structure and algorithms but It's not possible to finish this book in one sitting, and some of you may find it difficult to read as well, but don't worry, you can combine your learning with an online course like

This is like the best of both worlds, you learn basic Algorithms quickly in an online course, and then you further cement that knowledge by going through the book, which would make more sense to you now that you have gone through a class already.

This book is also the gold standard in data structure and algorithms but It's not possible to finish this book in one sitting, and some of you may find it difficult to read as well, but don't worry, you can combine your learning with an online course like

**Data Structures and Algorithms: Deep Dive Using Java**along with this book.This is like the best of both worlds, you learn basic Algorithms quickly in an online course, and then you further cement that knowledge by going through the book, which would make more sense to you now that you have gone through a class already.

I have also write a detailed review of Introduction of Algorithm book here, in case you want to read. Another reason I recommend this book as one of the first books on algorithms is because of its language agnostic and accompanied by lectures here

###

This was my preferred resource on algorithms for a long time, it still is, but now I see it less often than before. You will learn lots of background on the algorithm, and nowadays, even specific versions of this book are available for different programming languages like Java and C++.

There's also a couple of free Coursera online courses for this book,

Believe it or not, but if you already know a programming language, then seeing an example of an algorithm on that programming language than others also reduces the learning curve. You can also read the 4th Edition of this book online for free here.

###

This is another excellent book on computer algorithms that go over a ton of algorithms with a lot of code as well. What I especially like about the book is where he actually gives examples of where he used the algorithms (or variations thereof) in practice; it really helps you see the class(es) of problems that a particular algorithm (or family of algorithms) can be used for.

The code is in C, but it's not very esoteric, and it's easy to follow. I had also been out of school for a while, and this helped me get up to speed quite quickly on several

###
**2. Algorithms by Robert Sedgewick & Kevin Wayne**

This was my preferred resource on algorithms for a long time, it still is, but now I see it less often than before. You will learn lots of background on the algorithm, and nowadays, even specific versions of this book are available for different programming languages like Java and C++.There's also a couple of free Coursera online courses for this book,

**Algorithms Part 1**and**Algorithms Part 2**, which nicely complement this book. It's excellent. It's also my top recommendation to Java programmers for learning algorithms.Believe it or not, but if you already know a programming language, then seeing an example of an algorithm on that programming language than others also reduces the learning curve. You can also read the 4th Edition of this book online for free here.

###
**3. The Algorithm Design Manual by Steve S. Skiena**

This is another excellent book on computer algorithms that go over a ton of algorithms with a lot of code as well. What I especially like about the book is where he actually gives examples of where he used the algorithms (or variations thereof) in practice; it really helps you see the class(es) of problems that a particular algorithm (or family of algorithms) can be used for.The code is in C, but it's not very esoteric, and it's easy to follow. I had also been out of school for a while, and this helped me get up to speed quite quickly on several

**graph algorithms**. I've had this for almost 10 years now and still look at it from time to time.One notable feature of this book is the inclusion of "war stories" that provide real-world insights into algorithm design and problem-solving. The book is often praised for its practicality, emphasizing the importance of intuition and problem-solving skills in addition to formal algorithmic analysis.

It is also widely used in academic settings and serves as a valuable resource for anyone seeking a deeper understanding of algorithmic principles and their practical applications.

###

Algorithm for Interview by Adnan Aziz is a must-read book on algorithms, written in terms of keeping programming interviews in mind.

The cover itself shows how unusual the book could be if you look at the image carefully on the cover is drawn with thumbnails of famous people, and the book explains how you can develop such algorithms. Interesting, isn't it?

Well, I like this book because of its approach and objective, sometimes learning the same thing with different objects helps to understand it better.

###
**4. Algorithm for Interviews**

Algorithm for Interview by Adnan Aziz is a must-read book on algorithms, written in terms of keeping programming interviews in mind.The cover itself shows how unusual the book could be if you look at the image carefully on the cover is drawn with thumbnails of famous people, and the book explains how you can develop such algorithms. Interesting, isn't it?

Well, I like this book because of its approach and objective, sometimes learning the same thing with different objects helps to understand it better.

You can also combine this book with the

If you are preparing for coding interviews, I highly suggest joining Educative, they have the best courses on system design, dynamic programming, and object-oriented design and you can get access to all of their 100+ course for just $14.99 per month.

###

O'Reilly's Algorithms, in a Nutshell, is an excellent book to learn programming algorithms, especially for Java programmers. It describes the algorithms with a focus on implementing them and without heavy mathematics used in classic books on algorithms.

All algorithms are presented in pattern form, with a motivation to use them, pictures and pseudo-code giving a high-level overview, and working code (in C, C++, Java, and Ruby).

They also have benchmarks to provide proof of the theoretical performance of the algorithms. In short, one of the best books to learn algorithms for programmers.

###

This is actually the second-best book in Algorithms after Thomas Cormon's Introduction to Algorithms. It's not really an introduction to algorithms and is more suited to experienced programmers.

It's more about algorithm design for developers familiar with the basic algorithms. You should start with the Introduction of Algorithm book or Algorithms by Robert Sedgewick and then continue with this book.

Btw, if you like, you can also combine your learning with an online course like

###

Introduction to Algorithms: A Creative Approach By Udi Manber is another excellent book for self-study as it is full of hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design, which will help you to develop your Problem solving and Coding skills.

###

This is another great cook on computer algorithms and deserves a place on a programmer's shelf. Once you've gone through the Coursera class on Algorithms and one of the intro books, you can read this book for studying advanced topics in algorithms.

###

Another good intro book on algorithms and data structures. A lovely and bright book and any programmer who doesn't like the heavy use of Mathematics on the algorithm will appreciate this book.

Btw, if you find this book challenging to read, which is what some of my readers complain about, then you can also take a look at the

###

This book is designed for Python programmers. Magnus Lie Hetland is also the author of one of the popular introductory Python books, Beginning Python.

As I have told that algorithms are language-independent; learning python algorithms doesn't mean you cannot implement them in Java or C++, but if you already know Python, then this is an excellent book to learn computer algorithms.

This book also gives a lot of focus on Graph Algorithms, which are very useful in solving real-world problems.

**Grokking the Coding Interview: Patterns for Coding Questions**, an excellent interactive course from Educative to learn essential coding patterns like sliding window, merge interval, fast and slow pointers, etc that can be used to solve 100+ Leetcode problems.If you are preparing for coding interviews, I highly suggest joining Educative, they have the best courses on system design, dynamic programming, and object-oriented design and you can get access to all of their 100+ course for just $14.99 per month.

###
__5. Algorithm in Nutshell__

O'Reilly's Algorithms, in a Nutshell, is an excellent book to learn programming algorithms, especially for Java programmers. It describes the algorithms with a focus on implementing them and without heavy mathematics used in classic books on algorithms.__5. Algorithm in Nutshell__

All algorithms are presented in pattern form, with a motivation to use them, pictures and pseudo-code giving a high-level overview, and working code (in C, C++, Java, and Ruby).

They also have benchmarks to provide proof of the theoretical performance of the algorithms. In short, one of the best books to learn algorithms for programmers.

###
__6. Algorithm Design by Kleinberg & Tardos__

This is actually the second-best book in Algorithms after Thomas Cormon's Introduction to Algorithms. It's not really an introduction to algorithms and is more suited to experienced programmers.__6. Algorithm Design by Kleinberg & Tardos__

It's more about algorithm design for developers familiar with the basic algorithms. You should start with the Introduction of Algorithm book or Algorithms by Robert Sedgewick and then continue with this book.

Btw, if you like, you can also combine your learning with an online course like

**Algorithms and Data Structures - Part 1 and 2**on Pluralsight. It's an excellent course to get familiar with essential Algorithms and Data Structure before you move on to the Algorithm Design topic.###
__7. Introduction to Algorithms: A Creative Approach__

Introduction to Algorithms: A Creative Approach By Udi Manber is another excellent book for self-study as it is full of hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design, which will help you to develop your Problem solving and Coding skills.__7. Introduction to Algorithms: A Creative Approach__

###
__8. The Design and Analysis of Algorithms__

This is another great cook on computer algorithms and deserves a place on a programmer's shelf. Once you've gone through the Coursera class on Algorithms and one of the intro books, you can read this book for studying advanced topics in algorithms.__8. The Design and Analysis of Algorithms__

###
__9. Data Structures and Algorithms. Aho, Ullman & Hopcroft__

Another good intro book on algorithms and data structures. A lovely and bright book and any programmer who doesn't like the heavy use of Mathematics on the algorithm will appreciate this book.__9. Data Structures and Algorithms. Aho, Ullman & Hopcroft__

Btw, if you find this book challenging to read, which is what some of my readers complain about, then you can also take a look at the

**Grokking Algorithms**by Aditya Bhargava, one of the easiest and exciting books on Algorithms for beginners.###
__10. Python Algorithms: Mastering Basic Algorithms in the Python Language__

This book is designed for Python programmers. Magnus Lie Hetland is also the author of one of the popular introductory Python books, Beginning Python.__10. Python Algorithms: Mastering Basic Algorithms in the Python Language__

As I have told that algorithms are language-independent; learning python algorithms doesn't mean you cannot implement them in Java or C++, but if you already know Python, then this is an excellent book to learn computer algorithms.

This book also gives a lot of focus on Graph Algorithms, which are very useful in solving real-world problems.

### 11. Grokking Algorithms by Aditya Bhargava (Bonus)

The "Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People" by Aditya Bhargava is a highly praised book and approachable resource for those looking to demystify the world of algorithms. It actually make the boring topic of learning complex algorithm a bit more engaging and interesting.With a stellar rating of 4.6 out of 5 stars from 1,388 reviews, this fully illustrated guide takes a friendly and engaging approach to teaching common algorithms and their practical applications. Starting with fundamental concepts like sorting and searching, readers gradually delve into more complex areas such as data compression and artificial intelligence.

Aditya Bhargava presents each algorithm with clarity, supported by helpful diagrams and fully annotated Python code samples. The book emphasizes a hands-on and visually appealing learning experience, making it suitable for self-taught programmers, engineers, and anyone seeking a more intuitive understanding of algorithms.

The coverage includes search, sort, and graph algorithms, providing over 400 pictures with detailed walkthroughs, insights into performance trade-offs, and Python-based code samples.

Whether you are a seasoned programmer or a curious beginner, "Grokking Algorithms" is designed to make algorithmic concepts accessible and enjoyable. I have also wrote a detailed review of Grokking Algorithms here, in case you want to read and the 2nd edition of the book is also coming in 2024.

That's all about

**10 Algorithm books every programmer should read**. I agree that algorithms are a complex topic, and it's not easy to understand them in one reading; in that case, I suggest reading the same book twice.

Also, just reading is not enough, try to implement them in a programming language you love. It doesn't hurt writing your own ArrayList, HashMap, or a tree-based Map implementation. The effect of learning Algorithms is not immediately visible, but you will notice a subtle improvement in your thinking, solution building, and code quality over time.

Btw, if you are interested in an online course on algorithms, I suggest you check out

**Data Structures and Algorithms: Deep Dive Using Java****on Udemy. It's not a free course, but you can buy in just under $10 on several of Udemy flash sales, which happens every few days.**
At last, there are two types of programmers, one who understands the algorithm and one who doesn't.

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Thanks for reading this article, If you like this list of books then you would also enjoy my collection of

**10 books every programmer should read,**which is the list of books on programming, coding, software development techniques, and best practices, computers, programming as profession and experience of some of the great programmers/coders/developers of last 50 years.

**P. S. -**If you are looking for some free courses to learn Data Structure and Algorithms then you can also check this list of

**free Data Structure and Algorithms courses**for Java and Python developers. You will find examples in both programming languages.

A List of algorithm books but without data structure? I think data structure is equally important as algorithms and you should include some books on data structure as well.

ReplyDeleteI think u are confused . Those books make mention of that topic. Just looking up on those books. Regards

DeleteArt of computer programming by Donald Knuth

ReplyDeleteCertainly YES... Its Missing in the list.

DeleteJavin Paul where is the greatest and most awarded toughest book of all time. The book is the art of programming which is missing in the list which is written by famous computer scientist Donald knuth.why you didnot mention the name of this book in your list as it is the toughest book

DeleteBest book of algorithm it is hard and toughest of all algorithm book .thats why many bloggeries deos not like it . Donald knuth the famous scientist has written the book

DeleteKunuth's books are great, but it requires a lot of understanding of mathematics, and it's not some highschool math, many time he uses very high level mathematics, that only math graduates can understand.

DeleteAlgorithm Design by Jon Kleinberg and Ã‰va Tardos is probably the best algorithm ever to start with.

ReplyDeleteHello Hernan, Thanks for suggesting Algorithm Design by Jon Kleinberg and Ã‰va Tardos. I haven't got a chance to read that book yet, but sure take a look in future. Do you recommend this to Java Developers as well? I mean thus examples given in Java?

DeleteNo one reads these books; you are just selling stuff. Seriously, you have read "Introduction to Algorithms by Thomas H. Corman" front to back? No ... you haven't.

ReplyDeleteHello @Scott, you don't need to read a book front to back always. Sometime you refer them, sometime you keep them referring again and again. There are very few book, which I would say anyone read, front to back twice or thrice e.g. Effective Java, Clean Code etc.

DeleteEven the nerdest guy couldnt read 10 algorithm books and I guess almost non of the enginners in the google,etc read any algortihm book front to back even read any any page of them. Books are mostly for selling! Good advertising!

Delete@anonymus jun 23

DeleteDon't project your own habits onto what you expect from others.

I spelled sedgewick forward and backward.

Another good book is Algorithms by Sanjoy Dasgupta , Christos H. Papadimitriou , Umesh Vazirani.Check it out. It is easier to read than the Introduction to Algorithms, which will atleast take 2 to 3 weeks to complete.

ReplyDeleteHello @Anonymous, thanks for suggesting Algorithms by Sanjoy Dasgupta, I haven't read this book yet, but surely look into future. Though, I really like a easier to read book on Algorithms because the topic itself is very complex and hard to understand.

DeleteOne more good book to learn programming algorithms is "Algorithmics: The Spirit of Computing" by David Harel and Yishai Feldman. This is one of the easiest to read books on Algorithms that I have found and it is written by a genius in the field of algorithms.

ReplyDeleteHello @Annoymous, "Algorithmics: The Spirit of Computing" is indeed a great addition into this list. The best part, as you mentioned is that its easy to read, which is just what you want to understand a complex topic like Data Structure and Algorithms. I will add this into main list sometime.

DeleteI see it's helpful post from various aspects.

ReplyDeleteThank you Nickole.

DeleteVery good collection

ReplyDeleteThank you Michy, glad that you like these algorithm books for programmers.

DeleteWhere is the art of programming did greatest algorithm book which is written by Donald I knuth

ReplyDeleteWhere is the greatest book of all time naned the art of programming written by famous scientist Donald k knuth.it's missing in the list paul

ReplyDeleteWhere is the greatest book of all time naned the art of programming written by famous scientist Donald k knuth.it's missing in the list paul

ReplyDeleteHello @Anonymous, indeed, that's a great book, but honestly speaking its too difficult to read. I have tried it a couple of times and only then I started to understanding it little better.

DeleteTypo: It's Cormen, not Cormon

ReplyDeleteIndeed, thanks eliezio for pointing out.

DeleteThank you.

ReplyDeleteThank you Robert, glad you find this book recommendation useful.

Delete"Introduction to Algorithms by Thomas H. Corman" this book was really awesome currently I am reading this book nowadays I feel the content and concept given in this book is excellent

ReplyDeleteThank you mr. Robert for this recommendation

Not finding Knuth was heartbreaking

ReplyDelete@Lion, no doubt Knuth is one of the great book on computer programming, but its also very hard to read. I would rather suggest "Grokking Algorithm by Aditya Bhargava" than Knuth, unless and until you really know what you do and understand complex wording. Though, its a good reference book, where you can refer and keep learning some concept in detail.

DeleteThanks for this great list! going to order a few from it.

ReplyDeleteHello Please let me know the good book for counting patterns,number of restricted permutations,counting,etc

ReplyDeleteI of course haven't read any or all of these books in their entirety, but I have spent a decent amount of time on 1/2 these books so here is my take. If you would like to learn algorithms through java code and not pseudo code then "Algorithms" by Sedgewick is great. It is written entirely in Java code for all examples with accompanying visual aids. The problem is sometimes reading code isn't the best way to fully understand an algorithm. Skiena's book takes a different approach, there is significantly less code in the book (C language) but there are still computer language examples. Kleinberg & Tardos' book is entirely pseudo code which some people might not be as excited about but I personally think for what material it covers is by far the best book in the list. Sure, it doesn't cover the depth that Cormen's book covers, but it is beautiful to read. It is almost as if someone is telling their friend in passing all about certain (mostly graph) algorithms, but they also justify all their claims with proofs for those who enjoy a deeper level of understanding. In conclusion, Sedgewick's book is practical for people who want to see java code example of popular algorithms, Skiena uses some code but mostly pseudo code and covers a wide range of topics, Kleinberg and Tardos is an absolute joy to read for the material it covers (Less than Skiena but best of all I've read). Finally Cormen's has its place, but it is more of a dictionary that should be used to look up things for further understanding.

ReplyDeleteAnd the fun fact is that none of this is needed for many if most of the real wold jobs, which are and endless grind with requirements, bugs, spaghetti, documents, bad tools, bad managmeman, bad colleagues, etc.

ReplyDeleteCan you recommend good data structures and algorithm books for JavaScript?

ReplyDeleteI don't know a book as of now but will let you know once I found a good one. Btw, if you like online courses then Colt Steele's Data Structure and Algorithms on JavaScript is a good course to start with.

Deletethanks bro, good blog with many good resource

ReplyDeleteThanks andika

DeleteCool!

ReplyDeleteHi there

ReplyDeleteI'm programming for almost 10 years but i just developing application not programming. I want to learn algorithm. I am very poor at math. Which one do you prefer for me ? is it good to start with "Algorithms by Robert Sedgewick & Kevin Wayne 4th edition " ? my main programming language is java

I bought Introduction to Algorithms by Thomas H. Corman . It was the scariest book I've ever seen !!! I can't even read the symbols let alone understand them

Hello @Anonymous, if you have trouble understating algorithms then I suggest you to start with "Grokking Algorithms" book, examples are in python but explanation is very easy and that's the most important part. Once you know how an algorithm work, you can code in any programming language like Java or C++

Deletetnx :)

DeleteHi again :)

DeleteI finished "Grokking Algorithms" and it was very good book for beginners

I want to know what book should I read after that ? or video tutorial ??

I have recommended a couple of data structure and algorithms courses in this article you can check that.

DeleteCormen, not Corman

ReplyDeleteYes, indeed, btw did you checked the 4th Edition of the book? It's now available and its awesome too.

Delete