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...
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...
No Starch Press, 2024. — 264 р. — 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, 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...
Cuantum 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...
Pragmatic Bookshelf, 2024. — 504 p. — ISBN-13: 979-8888650356. 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...
Anand Rohit, Juneja Abhinav, Pandey Digvijay, Juneja Sapna, Sindhwani Nidhi. — John Wiley & Sons, Inc., 2024. — 460 р. — ISBN: 978-1394188062. Discover a collection of meta-heuristic algorithms for distributed systems in different application domains. Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the...
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...
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, Inc., 2024. — 225 p. — ISBN: 978-1-098-15076-1. Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data...
Independently published, October 30, 2023. — 230 р. Grokking Algorithms is a book that aims to help readers understand the fundamental concepts of Computer Science algorithms. It covers various algorithms and data structures, including searching, sorting, graph algorithms, dynamic programming, and more. The book presents the concepts clearly and concisely, with plenty of...
2nd Edition. — No Starch Press, 2024. — 480 р. — ISBN: 978-1-7185-0323-6. Присоединяйтесь к игре и изучите основные компьютерные алгоритмы, решая задачи соревновательного программирования, в полностью переработанном втором издании оригинального бестселлера. (По-прежнему никакой математики не требуется!). Вы упираетесь в структуры данных и алгоритмы? Независимо от того,...
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 to 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 translating...
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...
BPB Publications, 2023. — 214 p. — ISBN 978-93-5551-792-0. Solve complex problems by performing analysis of algorithms or selecting suitable techniques for optimal performance. Description: “Advanced Data Structures and Algorithms” is an important subject area in Computer Science that covers more complex and advanced topics related to data structures and algorithms. This book...
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 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 analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic...
No Starch Press, 2022. — 415 p. — ISBN-13: 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...
Independently published, 2021. — 266 p. — ASIN B09G2Z7QY1. This book is an introduction to the complex world of the Data Structure & Algorithm. A key factor of this book and its associated implementations is that all algorithms (unless otherwise stated) were designed by me, using the theory of the algorithm in question as a guideline (for which we are eternally grateful to...
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...
Independently published, 2021. — 176 p. — ASIN B095BPM2MF. Tree calculus is seeded by a single operator, whose self-application gives rise to pow- erful reflective programs including a size program that can compute its own size, an equality program that can decide its own equality, and a self-evaluator that can evaluate itself. This is achieved without any of the usual outside...
OpenGenus, 2021. — 363 p. — ASIN B094YJ1K13. This book Binary Tree Problems is carefully crafted to present you the knowledge and practice (around the data structure, Binary Tree) needed to ace Coding Interviews and Competitive Coding Contests. The book takes you through the fundamentals of Binary Tree, presents how to implement it in a good and secure way, make you practice...
Independently published, 2021. — 208 p. — ASIN : B093DXQRVG. This book is about how to work smart to avoid unnecessary work. Algorithmic thinking is about identifying the most efficient steps to solve a seemingly complex problem without detouring. It is a necessary skill for future jobs. Through a magical lens, CalliLens, you will observe abstraction and recognize patterns in...
Independently published, 2020. — 404 p. — ISBN B08LBY7Q16. A Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. An Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created...
Independently published, 2021. — 157 p. — ISBN B08V51PVCX. What are algorithms and why should you care? We’ll start with an overview of algorithms and then discuss two games that you could use an algorithm to solve more efficiently – the number guessing game and a route-finding game. In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ( listen)) is a finite sequence...
Independently published, 2021. — 186 p. — ISBN: 9798591756123. Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise...
No Starch Press, Inc., 2021. — 410 p. — ISBN13: 978-1-7185-0081-5 (ebook). A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Programming is about using a computer to solve problems, and algorithms and data structures are the building blocks of computer programs. For each problem that a programmer wants to solve,...
Princeton: Princeton University Press, 2020. — 232 p. — ISBN: 978-0-691-14714-7. Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world’s biggest haystack. Uploading a photo to Facebook transmits millions of pieces of...
2nd Edition. — Pragmatic Bookshelf, 2020. — 508 p. — ISBN13: 978-1-68050722-5. If you thought that data structures and algorithms were all just theory, you’re missing out on what they can do for your 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...
Apress Media LLC., 2020. — 298 p. — ISBN13: (electronic): 978-1-4842-5920-7. Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This unique in-depth guide explains string algorithms using the C programming language. String Algorithms in C teaches you the following algorithms and how to use them:...
Dedov Florian, 2020. — 116 p. The Most Important Skill in Computer Science! The field of algorithms and data structures is one of the most important in computer science. You will rarely be invited to a coding interview at Google, Microsoft or Facebook and not be asked questions about it. This is because these companies know how valuable the skills taught are. It doesn't matter...
Packt Publishing, 2020. — 373 p. — ISBN: 9781789801217. Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography Key Features Learn the techniques you need to know to design algorithms for solving complex...
3rd Edition. — Addison-Weasley, 1997. — 720 p. — ISBN13: 978-0-201-31452-5. Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A...
Independently published, 2019. — 126 p. — ISBN: 978-1081008826. This book covers various algorithms for compression and encryption, some of which overlap, serving both purposes simultaneously. We will discuss why one algorithm works better for one case and not another as well as how different implementations are superior or more robust. All of the algorithms and code are presented...
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,...
Apress, 2020. — 143 p. — ISBN13: 978-1-4842-5724-1. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of...
Springer, 2019. — 119 p. — (High-Performance Computing Series, 2). — ISBN: 978-981-13-9965-7 (eBook). Following an introduction to the basis of the fast Fourier transform (FFT), this book focuses on the implementation details on FFT for parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications in...
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...
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...
Wiley, 2019. — 800 p. — ISBN: 1119575990. 2nd Edition. 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...
5th edition. — CareerMonk Publications, 2017. — 828 p. — ISBN: 9788192107547. "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...
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...
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...
Technics Publications, 2017. — 228 p. — ISBN10: 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...
John Wiley & Sons, Inc., 2017. — 430 p. — (For Dummies). — 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...
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...
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...
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