JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals (Bae Sammie)(Paperback)

JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals (Bae Sammie)(Paperback)

Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash

Advanced Algorithms and Data Structures (La Rocca Marcello)(Paperback)

Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles (Karumanchi Narasimha)(Paperback)

Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiU Sample Chapter: goo.gl/n2Hk4i Found Issue? goo.gl/forms/4Gt72YO81I Videos: goo.gl/BcHq74 'Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles' is a book that offers solutions to complex data

Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues (Baka Benjamin)(Paperback)

Implement classic and functional data structures and algorithms using Python Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o

A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills (Wengrow Jay)(Paperback)

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

Algorithmic Thinking: A Problem-Based Introduction (Zingaro Daniel)(Paperback)

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

Data Structures and Algorithm Analysis in Java - International Edition (Weiss Mark)(Paperback / softback)

Data Structures and Algorithms in Java (Goodrich Michael T.)(Paperback / softback)

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data

Algorithms in C, Parts 1-5 (Bundle): Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms (Sedgewick Robert)(Paperback)

Software developers and computer scientists have eagerly awaited this comprehensive revision of Robert Sedgewick's landmark texts on algorithms. Sedgewick has completely revamped all five sections, illuminating today's best algorithms for an exceptionally wide range of tasks. This shrink-wrapped

Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Roughgarden Tim)(Paperback)

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms

Data Structures and Algorithms with Python (Lee Kent D.)(Paperback)

This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring

Data Structures using Python (Vasudevan Dr Shriram K. (Assistant Professor Dept. of CSE Assistant Professor Dept. of CSE Amrita Vishwa Vidyapeetham Coimbatore))(Paperback / softback)

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer Science,

Mastering Algorithms with C (Loudon Kyle)(Paperback)

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract

Object-Oriented Data Structures Using Java (Dale Nell)(Paperback)

The updated and revised Object-Oriented Data Structures Using Java, Fourth Edition is an essential resource for students learning data structures using the Java programming language. It presents both the traditional and modern data structure topics with an emphasis on problem-solving and

Data Structures and Algorithms with Scala: A Practitioner's Approach with Emphasis on Functional Programming (Upadhyaya Bhim P.)(Paperback)

Foundational Components Fundamental Algorithms Arrays Lists Stacks Queues Hash Tables Binary Trees Sorting Searching Graphs Appendix A: Solutions for Selected Exercises Appendix B: Review of Discrete Mathematical

Basic Concepts in Algorithms (Klein Shmuel Tomi)(Paperback)

This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms

Programming Algorithms in LISP: Writing Efficient Programs with Examples in ANSI Common LISP (Domkin Vsevolod)(Paperback)

Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential tools that help in the development of algorithmic code to give you all you need to enhance your code.Programming Algorithms in Lisp shows real-world engineering

Think Data Structures: Algorithms and Information Retrieval in Java (Downey Allen B.)(Paperback)

If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering--data structures and algorithms--in a way that's clearer, more concise, and more

Data Structures and Problem Solving Using Java: Pearson New International Edition (Weiss Mark)(Paperback / softback)

Discovering the Psalms - Content, Interpretation, Reception (Creach Professor Jerome)(Paperback / softback)

Comprehensive, up-to-date and student-friendly introduction to the book of Psalms: its structure, content, theological concerns, key interpretative debates and historical

Neuroscience: A Historical Introduction (Glickstein Mitchell)(Paperback)

An introduction to the structure and function of the nervous system that emphasizes the history of experiments and observations that led to modern neuroscientific knowledge.This introduction to neuroscience is unique in its emphasis on how we know what we know about the structure and function of

Structure of Materials: An Introduction to Crystallography, Diffraction and Symmetry (de Graef Marc)(Pevná vazba)

Biophysics: An Introduction (Glaser Roland)(Pevná vazba)

Nature and Subject of Biophysics.- Molecular Structure of Biological Systems.- Energetics and Dynamics of Biological Systems.- Physical Factors of the Environment.- The Kinetics of Biological

Minding the Machines: Building and Leading Data Science and Analytics Teams (Adamson Jeremy)(Paperback)

Learn and provide clear insights into how to structure and lead a successful analytics team. This is a deceptively challenging goal since there are no templates to work from. Establishing a project management office, information services, or human resources department is an understood process and