The book "Computer modeling and data processing in applied scientific research" by Sergey Kamenev is a deep and comprehensive study. which will be an indispensable assistant for students , Post-graduate students , scientists and practitioners in the field of science and technology. In this work, the author shares his knowledge and experience in the field of computer modeling, focusing on its importance for the modern scientific process. Sergey Kamenev is a well-known scientist and practitioner who combines theoretical foundations and practical aspects in his work, which makes his books especially valuable for readers seeking not only to understand, but also to apply the knowledge gained. His style of presentation is clear and accessible, which makes it easy to assimilate even the most complex concepts. Kamenev is also the author of other scientific works, such as “Methods of data analysis in scientific research” and “Basics of computer science”, which also deserve attention. In Computer Modeling and Data Processing in Applied Scientific Research, the author examines in detail how modern technologies can be used to model various processes and phenomena. The book covers a wide range of topics, ranging from the basics of computer modeling to complex data processing algorithms. Readers will be able to learn about different methods and approaches to modeling, as well as how to correctly interpret the results. One of the key topics of the book is the application of computer modeling in various fields of science - from physics and chemistry to biology and social sciences. Kamenev shows how modeling helps researchers predict experimental results, optimize processes, and find solutions to complex problems. This makes the book especially relevant for those who work in scientific laboratories or engaged in research activities. The book will be of interest not only to specialists, but also to students who are just starting their way in science. It will be an excellent textbook for courses in computer science, mathematics and statistics, as well as for those who study applied sciences. Readers interested in new technologies and their impact on scientific research will find many useful ideas and examples in this book. The topics raised in the book are important for modern society, where data is becoming the new “gold”. With the rapid development of technology and increasing amounts of information, the ability to work with data and simulate processes becomes a necessary skill for any researcher. Kamenev focuses on the ethical aspects of data use, which makes his work particularly relevant in light of contemporary challenges. “Computer modeling and data processing in applied scientific research” is not just a textbook, but a real find for anyone who wants to deepen their knowledge in the field of computer technology and their application in science. The book inspires new research and discoveries, encouraging the reader to think critically and creatively. If you are looking for a source of knowledge that will help you master modern methods of scientific research, this book will become your reliable companion in the world of science and technology.