SKU: 37195381397

Magnificat in D, BWV 243 (Study score)

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Magnificat in D, BWV 243 (Study score)Johann Sebastian Bachs Magnificat BWV 243 was composed in its first form in E flat, right at the beginning of Bachs period in Leipzig, for the Visitation of Mary on 2. 7. 1723, for a further performance on the 1st day of Christmas, Bach added four extra Christmas movements following a Leipzig tradition. Only in the 1730s did Bach arrange the Magnificat in the well known version in D, the orchestration was slightly altered, particularly improving the

Johann Sebastian Bach’s Magnificat BWV 243 was composed in its first form in E flat, right at the beginning of Bach’s period in Leipzig, for the Visitation of Mary on 2.7.1723, for a further performance on the 1st day of Christmas, Bach added four extra Christmas movements following a Leipzig tradition. Only in the 1730s did Bach arrange the Magnificat in the well-known version in D, the orchestration was slightly altered, particularly improving the considerable practical performance problems encountered in the E flat major version. Our critical new edition contains the version of the Magnificat in D, based on Bach’s autograph score. For Christmas performances the extra movements are available separately, transposed for performance with the D major version of the Magnificat (Carus 31.243/50).

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SKU: 37195381397

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Pen Name
Bozeman, US
★★★★★ 5
Excellent AI security book
Format: Paperback
A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.
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Reviewed in the United States on January 10, 2026
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TheTechGuyz
Port Orchard, US
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
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Steve Wilson
Lowell, US
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
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Niti Sharma
San Leandro, US
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
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Catalina J.
Cuba, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025

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