Automated processing of experimental data

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The book “Automated processing of experimental data”, written by a team of authors, is an indispensable resource for anyone interested in modern methods of data analysis and processing in scientific research. This work covers a wide range of topics related to the automation of experimental data processing, making it relevant for both students and professionals in science and technology. In today's world, where data volumes are growing every day, the ability to effectively process and analyze information is becoming an important skill. The book offers readers an in-depth understanding of the principles and methods used in automated data processing. The authors share their knowledge and experience, providing readers with not only theoretical foundations, but also practical recommendations that will help in real-life situations. Who can like this book? First of all, it will be of interest to students and graduate students studying such disciplines as physics, biology, chemistry, engineering and computer science . It will also be useful for researchers working in laboratories and research centers, as well as specialists engaged in data analysis in various fields. If you are interested in statistics, programming or just want to improve your skills in data processing, this book will be a real guide for you. The topics raised in the book cover many aspects, including methods of data collection, pre-processing, analysis and visualization. The authors emphasize the importance of process automation, which allows to significantly reduce the time for data processing and improve the accuracy of the results. The book discusses various software tools and programming languages, such as Python and R, which are widely used in scientific research. This makes it especially valuable for those who want to master modern technologies and methods of working with data. The style of the authors is characterized by accessibility and clarity of presentation, which allows readers to easily assimilate complex concepts. They use a lot of examples and illustrations to make the material more visual and understandable. The book is not only informative, but also inspires further study of the topic, encouraging the reader to experiment and find new solutions. If you are looking for literature that will help you to master automated data processing, pay attention to other works in this area, such as "Data Processing with Python" or "Statistical Data Analysis with R" These books can also complement your knowledge and deepen your understanding of the topics addressed in "Automated Experimental Data Processing" . In conclusion, “Automated Processing of Experimental Data” is not just a book, but a whole world of opportunities for those who want to master the skills of working with data. It will become a reliable assistant on your way to scientific discoveries and professional growth. Do not miss the chance to immerse yourself in the fascinating world of automation and data analysis, which opens up new horizons for you!
LF/75400146/R
Data sheet
- Name of the Author
- Collective of authors
- Language
- Russian