This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. Computer science is like any other difficult subject matter, where you become successful through deliberate, step-by-step exposure to the fundamental ideas. A beginning computer scientist needs practice to gain thorough understanding before advancing to more complex parts of the curriculum. A beginner also needs opportunities to be successful and gain confidence. This book achieves these goals by exposing new concepts incrementally while building on previously covered topics. Furthermore, we use the Python programming language, as we believe that provides the perfect setting for exploring these ideas. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. This textbook has three key features: A strong focus on problem solving introduces students to fundamental data structures and algorithms by providing a very readable text without introducing on overwhelming amount of new language syntax. Algorithm analysis in term of Big O running time is introduced early and applied throughout. Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.

Problem Solving with Algorithms and Data Structures Using Python―3rd Edition

Computers & Technology

Bradley Miller

David Ranum

Roman Yasinovskyy

Programming

Franklin, Beedle and Associates Inc.

"This book is an introduction to using SQL to query databases in a PostgreSQL environment"--

Learning SQL on PostgreSQL

Steven Conger

Databases & Big Data

This book serves as a textbook for a sophomore-level course in data structures and algorithms. It assumes students have prior experience in programming, especially in an object-oriented setting, and knowledge of discrete mathematics. A course in data structures and algorithms systematizes what students already know about programming, endows that body of knowledge with rigor, and widens the variety of data structures and algorithmic techniques that students master. Everything that follows in the curriculum depends on it. This book does not attempt to be an encyclopedia of various data structures and algorithmic techniques. Instead, its focus is the themes-the loci or commonplaces-that tie the topics together. Nearly everything done in a course on data structures and algorithms can be knit from a few basic principles about how memory is structured and the cost of algorithmic elements. This book directs students' attention to the story of how these elements can be adapted and recombined for better efficiency and more powerful problem solving.

Algorithmic Commonplaces

Thomas VanDrunen

Networking & Cloud Computing

See the best price to sell, buy or rent books by the Franklin, Beedle and Associates Inc. publisher. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Franklin, Beedle and Associates Inc.