A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you'll use most often as a programmer …
Leverage the latest parallel and concurrency features in .NET 6 when building your next application and explore the benefits and …
'This book is the most accurate and up-to-date source of information on the STL currently available...It has an approach and …
Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow …
For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of …
Python Algorithms, 2nd Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of …
1. Introduction -- 2. Recursion and backtracking -- 3. Linked lists -- 4. Stacks -- 5. Queues -- 6. Trees …
EPI is your comprehensive guide to interviewing for software development roles. The core of EPI is a collection of over …
This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart …
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design …
The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated revision of Artificial Intelligence: A …
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, …
★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆ …
I got this book as part of a short course in AI by Negnevitsky that I attended a while back. …
Compiled from: Introduction To The Design and Analysis of Algorithms Second Edition by Anany Levitin Algorithmics: The Spirit of Computing …
Solutions manual to Data Structures and Algorithm Analysis in Java 3rd edition by Mark Allen Weiss
Key FeaturesA step by step guide, which will provide you with a thorough discussion on the analysis and design of …
This completely updated second edition illustrates the mathematical concepts that a game programmer would need to develop a professional-quality 3D …
This is an excellent book about C# the language. Please read that again, as I can see a lot of …
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that …
Take tiny steps to enter the big world of data science through this interesting guide Key Features • Learn the …
Praise for Algorithmic Trading"Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this …
The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave …
An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for …
The free book "Fundamentals of Computer Programming with C#" (http://www.introprogramming.info) is a comprehensive computer programming tutorial that teaches programming, logical …
Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection …
Key FeaturesIdentify the bottlenecks in your applications and solve them using the best profiling techniquesWrite efficient numerical code in NumPy, …
In FUNDAMENTALS OF PYTHON: FROM FIRST PROGRAMS THROUGH DATA STRUCTURES, Washington and Lee University professor Kenneth A. Lambert presents all …
Networked information technology (NIT) systems are synonymous with network-centric or net-centric systems and constitute the cornerstone of the fast approaching …
Richard Bird takes a radically new approach to algorithm design, namely, design by calculation. These 30 short chapters each deal …
This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining …