SKU: 398821168
best planter for ponytail palm

best planter for ponytail palm Ponytail Palm

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Description

best planter for ponytail palm Ponytail PalmIdeal if you travel a lot (or tend to forget about your plants), ponytail palm can go weeks without water and maintain its good looks. Plus, its a champ at pulling pollution from the air. Can not ship to CA, AZ [bio] Plant Bio Beaucarnea recurvata With a common name is Ponytail Palm (it's actually in the Agave family and native to areas of Mexico), you can expect this plant to provide a tropical look. And it does, despite coming from deserts. It's

Ideal if you travel a lot (or tend to forget about your plants), ponytail palm can go weeks without water and maintain its good looks. Plus, it’s a champ at pulling pollution from the air.

  • Can not ship to CA, AZ

[bio]

Plant Bio

Beaucarnea recurvata

With a common name is Ponytail Palm (it's actually in the Agave family and native to areas of Mexico), you can expect this plant to provide a tropical look. And it does, despite coming from deserts. It's loved for its easy-care nature and the thick trunk (which stores water), called a caudex, topped by long, narrow leaves. Outdoors in its native habitat, Ponytail Palm can get more than 20 feet tall. 

Its ability to hold up to missed waterings and neglect has given Ponytail Palm a reputation for being one of the best houseplants for beginners. It tolerates low light, but truly thrives in a bright spot (within 3 to 4 feet of a large, unobstructed east- or west-facing window is ideal). It can be supplemented – or grow entirely – under artificial lights, as well. Water as the top half or so of the potting mix dries to the touch, provide average household temperatures, and average to above-average relative humidity levels (above 40 percent is optimal).

Note: This plant may have some natural degree of toxicity and may cause discomfort or illness if ingested. Additionally, exposure to the sap of this plant may cause discomfort to individuals with a sensitivity to it upon contact. Grown for ornamental purposes and not intended for human or animal consumption.

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SKU: 398821168

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Zay
West Palm Beach, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Houston, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Lexington, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Boise, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
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Ira Laefsky
Birmingham, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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