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Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper... Læs mere
This book provides a structured introduction to automata theory, bridging theoretical foundations with... Læs mere
This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks.
This book provides a practical introduction to using computational (or numerical) methods to solve physics problems using Python, including differential equations,... Læs mere
Great Python applications take advantage of established design principles and patterns that maximize performance, maintainability, and reliability. Software Design for Python... Læs mere
Python for Accounting and Finance is an innovative textbook written for accounting and finance students and professionals with no prior coding... Læs mere
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
This book explains how the Z Garbage Collector was designed, why it was designed this way, the common pitfalls to avoid when using ZGC in JDK 25 and how to get useful... Læs mere
This accessible tutorial reference by a multidisciplinary team of experts surveys efficient algorithms for analysing different types of games on... Læs mere
Turing Award-winner Leslie Lamport explains how to think more abstractly about concurrent and distributed programs by viewing them mathematically. More abstract thinking... Læs mere
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.