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This book is designed to provide the reader with a grounding in scientific programming and computational physics. It contains many exercises developed in the context of physics …
Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete …
Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would …
The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data …
Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers …
The book shows you how you can build database solutions with Data Access Objects (DAO) and ActiveXData Objects (ADO); define database objects and manage database security with SQL; …
Updated for Excel 2019 and based on the bestselling editions from previous versions, Microsoft Excel 2019 Programming by Example with VBA, XML and ASP is a practical, how-to book …
For all users who work with ISPF on z/OS MVS. The readers of this book will learn how to use the ISPF professionally in their daily work in z/OS to quickly reach optimal results: …
This book explains how to use the programming language Python to develop machine learning and deep learning tasks.
For all autonomous devices the development of resource-aware machine learning techniques is required to reduce the tremendous resource consumption. This work provides theoretical …