SKU: 39030576250
buy juniper bonsai tree online

buy juniper bonsai tree online "Basics" Juniper Bonsai Starters

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Description

buy juniper bonsai tree online "Basics" Juniper Bonsai StartersThe perfect "basics" starter plants! These Kishu junipers are perfect for so many things! (The botanical Latin name is Juniperus chinensis 'Kishu' or Juniperus chinensis Sargentii 'Kishu') Perfect for: Teaching beginners classes Learning to wire young trees The trunks are about 1 8" 1 4" diameter and they are 7 14" tall. We ship them in 3x9 Anderson Bands. They are 3 years old and ready for styling. Some of the trees have some movement in the first

The perfect "basics" starter plants!  These Kishu junipers are perfect for so many things! (The botanical Latin name is Juniperus chinensis 'Kishu' or Juniperus chinensis Sargentii 'Kishu') 

Perfect for:

  • Teaching beginners classes 
  • Learning to wire young trees

The trunks are about 1/8"-1/4" diameter and they are 7-14" tall. We ship them in 3x9 Anderson Bands. They are 3 years old and ready for styling. Some of the trees have some movement in the first two inches above the nebari (root junction.)

Kishu are among the best junipers for bonsai, with tight delicate foliage that creates heavenly clouds almost by itself.  The runners (strong central shoots) are used to make branches and trunks. Wood production is faster in hotter climates. 

The photos are representative, and do not show the actual tree you will receive. 

Our trees are healthy and vigorous - these are grown in 14 hours of direct summer sunlight! Our trees are all created in our own operation and are made specifically for bonsai use.

Domestic shipping to USA only.

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SKU: 39030576250

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Pen Name
Pawtucket, 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
Alexandria, 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
Cuba, 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
Fort Morgan, 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.
Omaha, 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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