SKU: 77956347118
curly palm plant

curly palm plant Ponytail Palm Beaucarnea recurvata Houseplant Seeds

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Description

curly palm plant Ponytail Palm Beaucarnea recurvata Houseplant Seeds15 Ponytail Palm seeds. The Ponytail Palm, also known as Beaucarnea Recurvata, or Elephant's Foot is a distinctive looking houseplant with a swollen thick brown stem at its base that stores water. The long narrow curly, dark green leaves flow up from this base much like a plume of water in a fountain. Despite it's name and appearance, the Ponytail Palm is in fact a succulent! These seeds come with an option of Eco Packaging Find out more. Sow Inside

15 Ponytail Palm seeds. The Ponytail Palm, also known as Beaucarnea Recurvata, or Elephant's Foot is a distinctive looking houseplant with a swollen thick brown stem at its base that stores water. The long narrow curly, dark green leaves flow up from this base much like a plume of water in a fountain.

Despite it's name and appearance, the Ponytail Palm is in fact a succulent!

These seeds come with an option of Eco Packaging - Find out more. 

Sow Inside Anytime


Growing Instructions

Propagating ponytail palm seeds is the surest way to grow these fun plants. While division is quicker, offsets do not always root. Growing ponytail palms from their seed results in a surer propagation method and seeds germinate rapidly if soaked overnight or gently scarified. The tough seed coating needs to be softened or damaged slightly to allow the sprout to emerge. Ponytail palms prefer light gritty soil. A good mixture for seed is 4 parts sand, 2 parts peat, and 1 part each sterile soil and perlite. Sow seeds in 3-inch (7.5 cm.) containers so you don’t need to disturb seedlings for quite some time. Moisten the medium and sow seed on the surface of the soil, pressing it in lightly. Top off with a light dusting of sand.

Keep the container lightly moist by misting and place in an area with a temperature of at least 68 degrees Fahrenheit (20 C.). Heat under the container can speed germination. Cover the container with plastic until germination. Remove the plastic once per day to allow excess moisture to escape. Keep the container in a brightly lit area but with some shelter from noonday sun, which may burn new leaves. You can expect sprouts in 1 to 3 months depending upon the time of year and amount of light and heat the plant experiences. Remove the heating mat and plastic once you see sprouts. Continue to mist your little ponytail palms and keep them in a bright, warm area. Once the seedlings have several pairs of true leaves, water deeply but infrequently in summer and reduce to half in winter. Use a good liquid plant food diluted in spring and again in summer.
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SKU: 77956347118

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E
eyal Fishman
Grantham, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Phoenix, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
West Palm Beach, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Cuba, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Alexandria, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
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Reviewed in the United States on October 14, 2024

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