SKU: 17009669861
small fan palm plant

small fan palm plant Fan Palm Houseplant - Large (3'-4' tall) Cement Grey Planter

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Description

small fan palm plant Fan Palm Houseplant - Large (3'-4' tall) Cement Grey PlanterThe Chinese Fan Palm (Livistona chinensis) is named after its graceful, fan shaped leaves that can grow up to 3 to 4 feet across. Unlike other palms, this slow growing, hardy plant is drought tolerant and requires minimal care, making it ideal for beginners and busy plant lovers. Bonus: This palm is pet friendly! Note: Fan Palms naturally produce sharp spines along their stems, so use caution when handling. For easier care, you can carefully prune

The Chinese Fan Palm (Livistona chinensis) is named after its graceful, fan-shaped leaves that can grow up to 3 to 4 feet across. Unlike other palms, this slow-growing, hardy plant is drought-tolerant and requires minimal care, making it ideal for beginners and busy plant lovers. Bonus: This palm is pet-friendly!

Note: Fan Palms naturally produce sharp spines along their stems, so use caution when handling. For easier care, you can carefully prune these spines off without harming the health of your plant!

  • Each plant is unique; size and shape fluctuate by season so all measurements are shown as a range
  • Large plants benefit from brighter light to help retain their mature foliage
  • Large plants require less frequent waterings due to their higher volume of soil
  • XL and Giant plants are big, which means the grow pot may peek above the planter's rim. If you'd prefer a cleaner look, simply remove the grow pot and plant directly into the planter.
  • If you purchase a large plant with a planter, the planter will ship separately
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SKU: 17009669861

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Pen Name
Draper, 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
Grantham, 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
Chelsea, 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
Belleville, 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.
Pawtucket, 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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