The book "Stochastic calculus" by C. In. Anulova and his co-authors are fascinating and in-depth research in the field of probability theory and mathematical statistics, which opens the world of stochastic processes and their applications to readers. This work will be a real find for students, graduate students and researchers interested in mathematics, economics, physics and other sciences, where work with uncertainty and randomness is important. In Stochastic Calculus, the authors offer the reader not only a theoretical basis, but also practical examples that will help to better understand complex concepts. The book covers a wide range of topics, including the basic principles of stochastic integration, differential equations with random coefficients and the application of stochastic analysis in financial models. This makes it particularly relevant for those seeking to apply mathematical methods to real-world problems, such as risk assessment, financial market modeling, and data analysis. One of the key features of the book is its accessible presentation style. The authors aim to make complex mathematical concepts understandable even for those who are just beginning their journey in the world of stochasticism. Readers will find many illustrations, graphs and examples that will help consolidate the material being studied. This makes the book not only a useful textbook, but also an interesting reader for anyone who wants to expand their knowledge in the field of mathematics. The book will be particularly useful for undergraduate and graduate students, as well as practitioners in finance, statistics, and engineering . If you are interested in topics such as stochastic processes, risk management or mathematical statistics, then “Stochastic calculus” will become an indispensable source of knowledge for you. The topics raised in the book are relevant in light of the contemporary challenges faced by researchers and practitioners. In an unstable economy and a rapidly changing world, the ability to work with probabilistic models is becoming increasingly important. The book helps readers develop the skills needed to analyze and interpret data, which is key in making informed decisions. C. In. Anulov is a well-known Russian mathematician whose work in the field of probability theory and stochastic processes has been recognized both in Russia and abroad. His other famous works, such as Mathematical Statistics and Probability Theory, are also noteworthy and can serve as an excellent addition to Stochastic Calculus. The author's style is clear and logical, which makes his books available to a wide audience. If you are looking for literature that combines theoretical rigor and practical applicability, then “Stochastic calculus” is exactly what you need. This book will not only expand your stochastic knowledge, but also inspire new ideas and research. Do not miss the opportunity to immerse yourself in the fascinating world of random processes and discover new horizons in mathematics and its applications!