2nd Edition. — John Wiley & Sons, Inc., Hoboken, New Jersey, Canada, 2017. — 329 p. — ISBN: 978-1-119-32763-9 Your ticket to breaking into the field of data science! Jobs in data science are projected to outpace the number of people with data science skills — making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For...
Dey Street Books, 2017. — 352 p. The book offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in...
Addison-Wesley, 2011. - 976 p. - ISBN: 032157351X (4th Edition) A Classic Reference The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty...
Addison-Wesley, 2012 — 512 p. In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren’s hacks are eminently practical, but they’re also...
CareerMonk Publications, 2017. — 828 p. — ISBN: 9788192107547. — 5th Edition. "Data Structures And Algorithms Made Easy: Data Structure 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...
Leanpub, 2015. — 219 p. This book describes the process of analyzing data in simple and general terms. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.
Apress, 2016. — 147 p. in color. — ISBN: 9781484213278 This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry...
Pragmatic Bookshelf, 2017. — 220 p. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use...
3rd ed. — Addison-Weasley, 2001. — 528 p. Algorithms in C++, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each...
O’Reilly Media, 2017. — 370 p. — ISBN: 978-1449334833. Final Release On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning...
Wiley, 2015. — 256 p. — ISBN: 978-1-118-96583-2. Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works – that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how...
John Wiley & Sons, Inc., 2017. — 430 p. — ISBN: 9781119330493. Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see — based on our likes, dislikes, queries, views, interests, relationships, and more — online. They are, in a sense, the electronic gatekeepers to...
2nd Edition. — Wiley, 2019. — 800 p. — ISBN: 1119575990. 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...
Technics Publications, 2017. — 140 p. — ISBN 10 1634622561, 13 978-1634622561, ASIN B074R7HL2W. From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist's toolbox. The second are essential practices needed in...
MIT Press, 2013. — 237 p. — ISBN: 978-0-262-51880-2. Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations...
4th ed. — The MIT Press, 2022. — 1312 p. — ISBN: 026204630X. A comprehensive update of the text of the leading algorithm, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines...
Amazon Digital Services LLC., 2018. — 141 p. — ASIN B07FDLH599. 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...
New Edition. — Amazon Digital Services LLC, — 359 p. — ASIN B07MRB762Z. Introduction to Data Structures and Algorithms in Java, 2019 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...
Fourth Estate Ltd, 2019. — 336 p. — ISBN: 978-0008288150, 0008288151. Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece And if so, would we be able to tell the differenceAs humans, we have an extraordinary ability to create works of art that elevate, expand and transform what it means to be alive.Yet in many other areas, new...
NYU Press, USA, 2017. — 144 p. — ISBN: 978-1479857599. What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the...
Packt Publishing, 2017. — 385 p. — ISBN13: 978-1787121041. If you want to learn different data structures and their real-world applications quickly through practical examples, then Everyday Data Structures is for you. This book can introduce you to new data structures and their potential applications through examples in languages common to mobile software development on the...
CreateSpace Independent Publishing Platform, 2014. — 150 p. — ISBN: 1500173452, 9781500173456 An algorithm is a solution to a class of problems generally contained in programming unit called a module and accessed by one or more objected oriented programs. A class on algorithms is a class on problem solving with the expectation of marketable results. This requires a textbook...
2nd Edition. — Manning Publications, 2024. — 320 p. — ISBN: 978-1633438538. A friendly, fully illustrated introduction to the most important computer programming algorithms. Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant...
Pearson Education, 2023. — 1263 p. — ISBN13: 978-0-201-03806-4. The Art of Computer Programming is Knuth's multivolume analysis of algorithms. With the addition of this new volume, it continues to be the definitive description of classical computer science. Volume 4B, the sequel to Volume 4A, extends Knuth's exploration of combinatorial algorithms. These algorithms are of keen...
Pragmatic Bookshelf, 2015. — 286 p. A book on mazes? Seriously? Yes! Not because you spend your day creating mazes, or because you particularly like solving mazes. But because it’s fun. Remember when programming used to be fun? This book takes you back to those days when you were starting to program, and you wanted to make your code do things, draw things, and solve puzzles....
Quantum Technologies, 2023. — 267 p. — ISBN: 979-8854326957. Now you have access to our eLearning Platform which includes: Free Repository Code with all code blocks used in this book. Access to Free Chapters of all our library of programming published books. Free premium customer support. Much more... Unlock the world of algorithms and discover how to harness their power to...
Second edition. — O’Reilly, 2016. — 420 p. — ISBN: 978-1-4919-4892-7. Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right...
O’Reilly, 2019. — xvi+240 p. — ISBN: 978-1-492-05781-9. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they’re used for building dynamic network models or...
No Starch Press, 2024. — 264 p. — ISBN-13: 978-1-7185-0387-8. Enter the wonderful world of graph algorithms, where you’ll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems. Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative...
Manning Publications, 2021. — 769 p. — ISBN: 978-1617295485. Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t...
Apress, 2021. — 661 p. — ISBN: 978-1-4842-7076-9. Learn approaches to computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer. Learning how to program can be very rewarding. It is a special feeling to see a computer translate your thoughts into actions and see it...
Manning Publications, 2022. — 306 p. — ISBN: 978-1617298035. Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data...
Pragmatic Bookshelf, 2024. — 504 p. If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple...
2nd Edition. — No Starch Press, 2024. — 926 p. — ISBN: 978-1-7185-0323-6. Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the best-selling original. (Still, no math required!). Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become...
Wiley, 2022. — 226 p. — ISBN: 978-1-119-72441-4. The Self-Taught Computer Scientist is Cory Althoff's follow-up to The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn how to program outside of school. In The Self-Taught Programmer, Cory showed readers why you don't need a computer science degree to program professionally and taught the...
Springer, 2019. — 111 p. — ISBN: 978-3030023744. This book explores the updated version of the Global algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed. Examples are provided for students as well as researchers and...
Manning Publications, 2024. — 353 p. — ISBN: 9781617299469. Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment....
O’Reilly Media, 2015. — 648 p. — ISBN13: 063-6-920-03288-5. Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm...
New York: Manning Publications Co., 2021. — 325 p. — (MEAP Edition). — ISBN: 1617295485. Algorithms and Data Structures in Action expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you'll discover techniques for improving priority queues, efficient caching, clustering data, and more. As a...
Manning Publications, 2024. — 282 p. — ISBN: 978-1633436992. Don't be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you'll put to work every day. Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You'll follow a steady learning path from absolute basics to...
Packt Publishing Pvt. Ltd., 2024. — 873 p. Master advanced algorithm design techniques to tackle complex programming challenges and optimize application performance. Key FeaturesDevelop advanced algorithm design skills to solve modern computational problems. Learn state-of-the-art techniques to deepen your understanding of complex algorithms. Apply your skills to real-world...
Anli Sherine, Mary Jasmine, Geno Peter, and S. Albert Alexander. — CRC Press, 2023. — 196 p. — ISBN: 978-1-032-40932-0. Computational complexity is critical in the analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with a discussion of algorithm analysis, time-space trade-off,...
BPB Publications, 2023. — 88 p. This book will teach you how to analyze algorithms to handle the difficulties of sophisticated programming. It will then help you understand how advanced data structures are used to store and manage data efficiently. Moving on, it will help you explore and work with Divide and Conquer techniques, Dynamic programming, and Greedy algorithms....
De Gruyter, 2024. — 383 p. — ISBN-13 978-3111228006. Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyzes the top-performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques, and Cloud...
Leanpub, 2020. — 152 p. Version: 2020-08-15. A collection of Python code solving some of the common Data Structures and Algorithms you might be expected to encounter at an interview process. Land the Software Engineer job you want by mastering one of the most challenging questions you might face during the interview. This book is a collection of Data Structures and Algorithms...
O’Reilly Media, Inc., 2021. — 282 p. — ISBN: 978-1-492-09106-6. 2021-07-20: First Release When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in...
Springer, 2022. — 142 p. This book focuses on linear time eigenvalue location algorithms for graphs. This subject relates to spectral graph theory, a field that combines tools and concepts of linear algebra and combinatorics, with applications ranging from image processing and data analysis to molecular descriptors and random walks. It has attracted a lot of attention and has...
Gruyter GmbH, 2019. — 411 p. — ISBN: 978-3-11-061673-6. Algorithms are the essence of programming. After their construction, they have to be translated into the codes of a specific programming language. There exists a maximum of ten basic algorithmic templates. This textbook aims to provide the reader with a more convenient and efficient method to create a program by...
Leanpub, 2023. — 116 p. — ISBN: 978-1-7390105-1-5. Feeling overwhelmed by coding interviews? Preparing for coding interviews can often be a daunting task, causing stress and anxiety for many individuals. Several factors contribute to this feeling: Scattered and overwhelming information: The abundance of resources available, including online tutorials, blog posts, and coding...
No Starch Press, 2022. — 415 p. — ISBN13: 978-1-7185-0261-1. Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process. This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures — a critical...
Springer, 2022. — 134 p. — (SpringerBriefs in Computer Science). The feedback arc set problem is one of the quintessential problems of algorithmics and, more generally, of Computer Science. The main aim of the book is to give a review of all relevant information regarding a well-known and important problem of Feedback Arc Set (FAS). This review naturally also includes a history...
CRC Press, 2022. — 319 p. — ISBN: 978-0-367-55526-9. The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further, the book provides a comprehensive introduction to algorithms and covers them in considerable depth, yet makes their design...
5th Edition. — Morgan Kaufmann, 2018. — 770 p. — ISBN: 978-0-12-809474-7. This book, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video. This new edition...
W.W. Norton & Company, 2023. — 384 p. — ISBN-13: 978-1324006732. A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition — capable of checking us onto flights or identifying undocumented residents — to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a...
2nd Edition. — Packt Publishing, 2018. — 389 p. — ISBN: 978-1-78899-557-3. Learn to implement complex data structures and algorithms using Python Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential...
O’Reilly, 2020. — 420 p. — ISBN: 9781492044079. Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory,...
Manning Publications, 2024. — 280 p. — ISBN: 978-1633437418. A friendly illustrated guide to designing and implementing your first database. Grokking Relational Database Design makes the principles of designing relational databases approachable and engaging. Everything in this book is reinforced by hands-on exercises and examples. In Grokking Relational Database Design, you’ll...
CRC Press, 2022. — 363 p. — ISBN: 9780367616373. This book provides a quick study of data structures. The conventions of ‘C’ language is used to describe the used algorithms and Data Structures primarily, because of their value. The book provides a comprehensive and technically rigorous introduction to data structures such as arrays, stacks, queues, linked lists, trees, and...
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