Top 10 Best Books On Algorithms

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Algorithms are language neutral, and any competent programmer should be able to translate them to code in their preferred programming language. While coding ... read more...

  1. Gayle Laakmann McDowell, the author of Cracking the PM Interview and Cracking the Tech Career, is the founder and CEO of CareerCup. Her professional background is in software development. She has worked as a software engineer for companies such as Google, Microsoft, and Apple.

    Among the best books on algorithms, Cracking the Coding Interview, 6th Edition will teach you how to create great algorithms on the spot and then write immaculate code on a whiteboard, teaching you everything you need to know and allowing you to perform at your peak. Hundreds of software engineers have been coached and interviewed by the author. As a result, this book was born.

    Learn how to decipher clues and hidden subtleties in a question, how to break down a problem into manageable bits, how to unstick yourself when stuck, key computer science ideas (or re-learn), and practice on 189 interview questions and solutions.

    These interview questions are authentic; they were not taken from computer science textbooks. They represent what is genuinely being asked at top firms, allowing you to be as prepared as possible.


    • There are 189 programming interview questions ranging from the fundamentals to the most difficult algorithm difficulties.
    • A step-by-step explanation of how to arrive to each solution, so you can do it yourself.
    • Hints on how to answer each of the 189 questions, just like in a real interview.
    • Five tried-and-true ways for answering algorithm questions so you can solve problems you've never seen before.
    • Coverage of fundamental topics such as huge O time, data structures, and core algorithms is extensive.
    • A look behind the scenes at how major corporations such as Google and Facebook hire developers.
    • Techniques for preparing for and acing behavioral questions in interviews.
    • Details about what constitutes a successful interview question and the recruiting process for interviewers and organizations.

    Author: Gayle Laakmann McDowell

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    Ratings: 4.7 out of 5 stars (from 7054 reviews)

    Best Sellers Rank: #1,041 in Books

    #1 in Business & Finance

    #1 in Computer Hacking

    #1 in Data Structure and Algorithms

  2. Tiago Forte is a productivity guru who has taught thousands of individuals around the world how timeless ideas and cutting-edge technology can improve their productivity, creativity, and personal efficiency. He has worked with companies including Genentech, Toyota Motor Corporation, and the Inter-American Development Bank, and his work has appeared in media like The New York Times, The Atlantic, and Harvard Business Review.

    For the first time in history, we have instant access to the entirety of the world's knowledge. There has never been a better time to study, contribute, and grow as individuals. However, rather than feeling empowered, this constant stream of knowledge frequently leaves you feeling overwhelmed. The very knowledge that was supposed to set us free has instead resulted in the crippling stress of not knowing or remembering enough.

    This eye-opening and user-friendly guide- Building a Second Brain now shows you how to effortlessly establish your own personal knowledge management system, sometimes known as a Second Brain. A Second Brain gives you the confidence to tackle your most critical tasks and ambitious goals by serving as a trustworthy and organized digital repository of your most valuable ideas, notes, and creative work that is synced across all of your devices and platforms.

    Build a Second Brain to unlock the full potential of your ideas and translate what you know into more powerful, more significant advances in your job and life.

    Author: Tiago Forte

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    Ratings: 4.5 out of 5 stars (from 108 reviews)

    Best Sellers Rank: #1,517 in Books

    #1 in Memory Management Algorithms

    #1 in Information Management (Books)

    #2 in Library Management
  3. Aditya Bhargava is a Software Engineer who holds degrees in both computer science and fine arts. is his programming blog.

    An algorithm is simply a step-by-step technique for resolving a problem. As a programmer, you will frequently use algorithms that have previously been found, tried, and proved. This is the book for you if you want to comprehend them but don't want to dig through lengthy multipage proofs. This interesting and fully illustrated tutorial makes it simple to learn how to use the most important algorithms efficiently in your own programs.

    Grokking Algorithms is a fun, fully illustrated reference that teaches you how to apply popular algorithms to the practical challenges you confront as a programmer every day. You'll start with sorting and searching then progress to more complicated issues like data compression and artificial intelligence as your algorithmic thinking skills improve. Each meticulously presented example contains useful illustrations as well as fully annotated Python code samples.

    Algorithm education does not have to be tedious! On Manning Publications' YouTube channel, you can get a sneak glimpse at the colorful, illustrated, and approachable examples found in Grokking Algorithms. Manning Publications offers a free eBook in PDF, Kindle, and ePub formats with the purchase of the print book.

    What's on the Inside?

    • Algorithms for search, sort, and graph
    • There are around 400 images with extensive walkthroughs.
    • Algorithms' performance trade-offs
    • Examples of Python code

    Author: Aditya Bhargava

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    Ratings: 4.6 out of 5 stars (from 994 reviews)

    Best Sellers Rank: #9,323 in Books

    #1 in Computer Graphics

    #1 in User Experience & Website Usability

    #1 in Online Internet Searching
    Photo: Grokking Algorithms: An illustrated guide for programmers and other curious people's Facebook
    Photo: Grokking Algorithms: An illustrated guide for programmers and other curious people's Facebook
  4. Jay Wengrow is a seasoned educator and programmer who is passionate about educating the world to code. He is the founder and CEO of Actualize, a nationwide coding bootcamp and apprenticeship; and Anyone Can Learn To Code, an educational organization that teaches anyone how to code through online tutorials, K-12 computer science curriculum, and corporate training.

    Algorithms and data structures are more than just abstract ideas. Mastering them allows you to build faster and more efficient code, which is especially vital for today's web and mobile apps. Take a hands-on approach to data structures and algorithms, using approaches and real-world scenarios you can apply in your daily production code, including examples in JavaScript, Python, and Ruby. This rewritten and updated second edition includes additional chapters on recursion, dynamic programming, and using Big O in your everyday work.

    To quantify and explain the efficiency of your code, use Big O notation, and adjust your approach to make it faster. Learn how the arrays, linked lists, and hash tables you use can have a big impact on the code you write. Recursion can be used to tackle difficult issues and construct algorithms that are tenfold quicker than alternatives. Investigate advanced data structures like binary trees and graphs to aid in the scaling of specialized applications like social networks and mapping tools. You may even come upon a single keyword that can give your code a boost. Exercises and comprehensive solutions are provided in each chapter to help you practice your new skills.

    Use these strategies right away to make your code more scalable and faster. A Common-Sense Guide to Data Structures and Algorithm is exactly among the best books on algorithms.

    Author: Jay Wengrow

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    Ratings: 4.7 out of 5 stars (from 432 reviews)

    Best Sellers Rank: #10,407 in Books

    #1 in Computer Programming Structured Design

    #2 in Mathematical & Statistical Software

    #2 in Mathematical Analysis (Books)
  5. Amit Prakash, Tsung-Hsien Lee, and Adnan Aziz are among the authors. Google, Facebook, Uber, Microsoft, IBM, and Qualcomm are just a few of the companies they've worked for. They collaborated on algorithms and systems that are utilized by over one billion people on a daily basis.

    Have you ever wished to work for an innovative, forward-thinking company? Have you ever struggled with an interview question that you could have handled in 15 minutes? Have you ever wished you could learn how to solve real-world computer problems? If this is the case, you should read Elements of Programming Interviews (EPI).

    EPI is your all-in-one resource for interviewing for software development jobs. EPI is built around a set of approximately 250 problems with thorough solutions. The problems are based on interview questions from prominent software companies. 200 figures, 300 tested programs, and 150 extra versions are used to show the problems.

    Elements of Programming Interviews in Python starts with an overview of the nontechnical parts of interviewing, such as interviewing tactics, typical blunders, perspectives from the other side of the table, negotiating the best offer, and a guide to the best ways to use EPI. In addition, the authors present an overview of data structures, algorithms, and problem-solving patterns.

    A sequence of chapters covering fundamental and complex data structures, searching, sorting, algorithm design concepts, and concurrency are used to present coding issues. Each chapter begins with a brief introduction, followed by a case study, top advice, and a summary of the most essential library approaches. This is followed by a wide range of thought-provoking problems.

    Author: Amit Prakash, Tsung-Hsien Lee and Adnan Aziz

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    Ratings: 4.4 out of 5 stars (from 684 reviews)

    Best Sellers Rank: #11,177 in Books

    #1 in Genetic Algorithms

    #1 in Job Markets & Advice

    #3 in Computer Algorithms
  6. Amy Zegart is a senior scholar at Stanford University's Hoover Institution and the Freeman Spogli Institute for International Studies, as well as a contributor to The Atlantic. Spying Blind: The CIA, the FBI, and the Origins of 9/11 (Princeton) and (with Condoleezza Rice) Political Risk: How Businesses and Organizations Can Anticipate Global Insecurity are two of her publications.

    Spying has never been more common or understood. The world is immersed in spy movies, TV shows, and novels, but universities teach more about rock and roll than the CIA, and congressional experts on powdered milk outnumber those on espionage. The intelligence education crisis is distorting public opinion, encouraging conspiracy theories, and undermining intelligence strategy. Amy Zegart distinguishes reality from fiction in Spies, Lies, and Algorithms, an interesting and instructive study of the past, present, and future of American espionage as it faces a digital revolution.

    Zegart provides a history of U.S. espionage, from George Washington's Revolutionary War spies to today's spy satellites; examines how fictional spies influence real officials; provides an overview of intelligence basics and life inside America's intelligence agencies; explains the deadly cognitive biases that can mislead analysts; and explores the vexed issues of traitors, covert ac Most importantly, Zegart illustrates how technology is producing new opponents and possibilities, as well as powerful new players, such as private people who successfully track nuclear threats using nothing more than Google Earth. And she demonstrates why, in many respects, cyberspace is the ultimate cloak-and-dagger battleground, where criminal players use deception, subterfuge, and advanced technology for theft, espionage, and information warfare.

    Spies, Lies, and Algorithms is a fascinating and informative study of espionage in the digital era that is required reading for anybody interested in understanding the reality of spying today. It is regarded as one of the best books on algorithms.

    Author: Amy Zegart

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    Ratings: 4.4 out of 5 stars (from 121 reviews)

    Best Sellers Rank: #18,200 in Books

    #6 in Programming Algorithms

    #25 in Law Specialties (Books)

    #26 in Espionage True Accounts
    Photo: WGN News's Youtube Channel
    Photo: WGN News's Youtube Channel
  7. Dartmouth College's Thomas H. Cormen is a Professor of Computer Science and the former Director of the Institute for Writing and Rhetoric. Charles E. Leiserson is a Massachusetts Institute of Technology Professor of Computer Science and Engineering. At the Massachusetts Institute of Technology, Ronald L. Rivest is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science. Clifford Stein is a Columbia University Professor of Industrial Engineering and Operations Research. Introduction to Algorithms, the main textbook on computer algorithms, is coauthored by them.

    Some algorithm books are rigorous but incomplete, whereas others cover a lot of ground but lack rigor. Introduction to Algorithms is the only book that combines rigor with breadth. The book covers a wide range of algorithms in depth while making their design and analysis accessible to readers of all levels. Each chapter is very self-contained and can be used as a standalone unit of study. The algorithms are given in English and in pseudocode that anyone who has done some programming may understand. The explanations have been kept simple while maintaining depth of coverage and mathematical rigor.

    The first edition of Introduction to Algorithms became a standard reference for professionals as well as a frequently utilized work in institutions around the world. New chapters in the second edition covered the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been thoroughly edited and updated. It features two whole new chapters on van Emde Boas trees and multithreaded algorithms, significant updates to the chapter on recurrence (now titled "Divide-and-Conquer"), and a matrices appendix. It includes an improved handling of dynamic programming and greedy algorithms, as well as a new concept of edge-based flow in the flow network material. This version includes many new exercises and puzzles. The international paperback edition is no longer accessible; nevertheless, the hardcover edition is available everywhere.

    Author: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein

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    Ratings: 4.6 out of 5 stars (from 2050 reviews)

    Best Sellers Rank: #21,024 in Books

    #2 in Data Structure and Algorithms

    #4 in Computer Algorithms

    #70 in Computer Science (Books)
  8. Merih Taze, Senior Software Engineering Lead at Facebook (previously Microsoft and Snapchat), is the author of Engineers Survival Guide.

    There are plenty excellent technical publications available. But what about your professional life as an engineer? What is your interaction style with others? How satisfied are you with your job? Are you sick of having to put on a fake confidence act? Do you have trouble persuading others? Do you want to advance in your career? Are you busy and unable to obtain the assistance you require? Are you afraid of what your peers may say? Do you find yourself in disagreements with no end in sight? Do you want to know how to make your boss work for you? Do you want to establish a career you'll be pleased to talk about?

    If you've been feeling isolated on your path and wishing you had a friend or mentor from whom you could seek non-technical assistance, look no further!

    Working in a tech company, whether new or experienced, may be isolating. School will not teach you how to persuade intelligent technical people, manage your career, or operate complex systems. In Engineers Survival Guide, Merih has been exceedingly open and gracious in sharing his experience, his own imposter syndrome, and his own victories and disappointments, making the lonely road in technology more tolerable and even pleasant. Get a better understanding of how the system operates by looking at a variety of real-world instances.

    Inside, you'll find a summary of advice, techniques, and methods learned the hard way over many years of working on mission-critical components, complex system architectures supporting billions of users, and collaborating with thousands of the world's most talented engineers. It has a survival strategy for the majority of circumstances you'll face as an engineer, and learn how to play the long game.

    Topics Covered: Conflict resolution, finding mentors, prioritization, interviews, importance of data, visibility, failures, consensus, design discussions, how to drive meetings, adaptability, ambiguity, networking, meetings with your managers (one on ones), biggest regret, perfectionism, system design, calendar, focus blocks, office jargon, diversification, positive surroundings, being the happy coworker, working at a startup, office politics, playing for the long game

    Author: Merih Taze

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    Ratings: 4.5 out of 5 stars (from 46 reviews)

    Best Sellers Rank: #23,409 in Books

    #1 in Perl Programming

    #2 in Mobile App Development & Programming

    #9 in Programming Algorithms
  9. Ronald L. Graham (1935-2020) was the Chief Scientist at AT&T Labs Research for many years. He was also a former President of the American Mathematical Society and the Mathematical Association of America, as well as a Professor of Computer and Information Science at the University of California, San Diego.

    Donald E. Knuth is Stanford University's Emeritus Professor of The Art of Computer Programming. He wrote four books on The Art of Computer Programming and five books about his TEX and METAFONT typesetting technologies.

    Oren Patashnik works as a researcher at the Center for Communications Research in La Jolla, California. He is also the creator of BibTEX, a popular bibliography processor.

    Concrete Mathematics introduces the mathematics that underpins advanced computer programming and algorithm analysis. The fundamental goal of its well-known writers is to establish a robust and useful foundation of mathematical skills - the skills required to solve complex problems, evaluate astronomical amounts, and identify subtle patterns in data. It is a must-have work and reference not only for computer scientists (the authors rely extensively on it! ), but also for serious users of mathematics in almost every discipline.

    CONtinuous and disCRETE mathematics are combined in Concrete Mathematics. "More concretely," the authors add, "it is the controlled manipulation of mathematical formulas, employing a set of problem-solving approaches." The subject content is mainly an elaboration of Knuth's famous Art of Computer Programming's Mathematical Preliminaries part, although the presenting manner is more leisurely, and individual topics are addressed more thoroughly. A number of new themes have been introduced, and the most important ideas have been traced back to their historical origins. The book has around 500 activities grouped into six categories. All exercises, with the exception of research problems, provide complete answers, making the book especially useful for self-study.

    Major topics include:

    • Sums
    • Recurrences
    • Integer functions
    • Elementary number theory
    • Binomial coefficients
    • Generating functions
    • Discrete probability
    • Asymptotic methods

    This second edition contains significant new material on mechanical summation. In response to the original edition's broad use as a reference book, the bibliography and index have been increased, and nontrivial enhancements can be found on practically every page. Concrete Mathematics' conversational approach will appeal to readers. The marginal graffiti created by students who have attended courses based on this subject is really enjoyable. The writers hope to convey not only the relevance of the skills given, but also some of the enjoyment in learning and applying them.

    Author: Ronald L. Graham, Donald E. Knuth and Oren Patashnik

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    Ratings: 4.6 out of 5 stars (from 183 reviews)

    Best Sellers Rank: #31,831 in Books

    #6 in Computer Algorithms

    #13 in Programming Algorithms

    #49 in AI & Machine Learning
  10. For more than 15 years, V. Anton Spraul has taught beginning programming and computer science. He is the New York Times bestselling author of Computer Science Made Simple and How Software Works (No Starch Press). In his series "Learning to Program: A Guide," he provides advise for new programmers.

    The fundamental challenge of programming isn't learning a language's syntax; it's learning to solve problems creatively so you can develop something amazing. Author V. Anton Spraul breaks down how programmers solve problems in this one-of-a-kind manual and teaches you what other introductory books typically overlook: how to Think Like a Programmer. Among the best books on algorithms, each chapter focuses on a specific programming idea, such as classes, pointers, and recursion, and open-ended activities throughout test your knowledge.

    You'll also learn how to:

    • Disassemble problems into separate components to make them easier to solve
    • Use functions, classes, and libraries to maximize code reuse
    • Choose the best data structure for the job
    • Learn more sophisticated programming techniques such as recursion and dynamic memory
    • Organize your thoughts and devise ways to deal with specific types of difficulties.

    Although the examples in the book are written in C++, the creative problem-solving techniques they demonstrate transcend any particular language; in fact, they frequently extend beyond the world of computer science. Writing amazing code is a creative art, as the most skilled programmers know, and the first step in producing your masterpiece is learning to Think Like a Programmer.

    Author: V. Anton Spraul

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    Ratings: 4.7 out of 5 stars (from 342 reviews)

    Best Sellers Rank: #34,619 in Books

    #4 in Computer Programming Structured Design

    #6 in C++ Programming Language

    #7 in Computer Algorithms

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