Methods of Data Compression . Section 1" by Vatolin D. , Town Hall A. and others is a fascinating and deep dive into the world of information processing and storage. In today's digital world, where data volumes are growing every day, effective methods of compressing them are becoming not just relevant, but vital. This paper is the first part of an extensive study that covers both the theoretical foundations and practical aspects of data compression. From the first pages, the reader is immersed in a complex but fascinating world of algorithms and technologies that allow you to reduce the amount of information without losing its quality. The authors, with extensive experience in computer science and computer science, share their knowledge of various compression methods, such as Huffman algorithms, LZW and many others. They not only explain how these methods work, but also discuss their application in real-world tasks such as compressing images, videos, and texts. This book will be of interest to both computer science students and graduate students, as well as IT professionals working with large amounts of data. If you are passionate about programming, algorithms, or just want to understand how to optimize information storage, "Data compression methods. Section 1" will be a real discovery for you. Readers interested in topics such as machine learning, image processing, and software development will also find many useful ideas and solutions in this book. The topics raised in the book cover not only the technical aspects of compression, but also the philosophical issues related to data processing. The authors raise important questions about the trade-off between quality and volume of information, as well as how modern technologies can improve or impair our ability to store and process data. This book offers readers not only practical knowledge, but also an opportunity to reflect on the future of technology and its impact on society. The style of the authors is distinguished by clarity and accessibility, which makes complex concepts understandable even for those who are just beginning to get acquainted with this topic. Vatolin and Ratushnyak use many examples and illustrations to illustrate their ideas, which helps the reader to better assimilate the material. In addition, they actively refer to their previous work and research, which creates a holistic perception of the topic and allows the reader to delve into the study. If you are looking for books similar in genre, pay attention to such works as “Algorithms: construction and analysis” by Kormen and “Data compression: theory and practice” by J. Hopcroft . These books also offer an in-depth understanding of algorithms and techniques that will help you become an expert in data processing. Finally, "Data compression methods. Section 1" is not just a textbook, but a real find for anyone who wants to understand the complex issues of information compression. This book inspires study and opens new horizons in the world of digital technologies. If you want to be at the forefront in data processing, don’t miss the opportunity to get to know this outstanding job.