lucky bamboo new hampton iowa Lucky Bamboo Three Tier Tower - By Houseplants New York LLC – Houseplants  New York LLC
SKU: 32013566830
lucky bamboo new hampton iowa

lucky bamboo new hampton iowa Lucky Bamboo Three Tier Tower - By Houseplants New York LLC – Houseplants New York LLC

Sale price$20.40 Regular price$22.67
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Description

lucky bamboo new hampton iowa Lucky Bamboo Three Tier Tower - By Houseplants New York LLC – Houseplants New York LLCLive Lucky Bamboo Tower 3 Tier Arrangement Premium Bamboo Stems carefully assembled to a 3 Tier Tower. 36 Stem Avg. 4 6 8 Stems Commonly called Lucky bamboo, is a small to medium sized, slow growing, herbaceous perennial native to tropical western Africa. Live Lucky Bamboo Plants are said to give good luck and fortune, are used for feng shui & make for great home and office gifts, since they are very low maintenance and easy to care for. SIZE: Average

Live Lucky Bamboo Tower 3 Tier Arrangement

Premium Bamboo Stems carefully assembled to a 3 Tier Tower. 36 Stem Avg. 4” 6” 8” Stems

Commonly called Lucky bamboo, is a small to medium sized, slow-growing, herbaceous perennial native to tropical western Africa.

Live Lucky Bamboo Plants are said to give good luck and fortune, are used for feng shui & make for great home and office gifts, since they are very low maintenance and easy to care for.

SIZE:

Average Height with growth: 10”-12" Width: 4”
Bamboo Stems: 4"6"8" (Around 36 Stems)

CARE INSTRUCTIONS:

PLACEMENT: Great in containers with rocks and water.
EXPOSURE: Filtered or indirect sun.
SOIL: Not Needed, Only water.
WATER: Should always sit in water.
FERTILIZE: Fertilize monthly with a dilute liquid product.

SHIPPING:

All our products ship in custom designed and manufactured shipping boxes to minimize disturbing the Bamboo.

Ships with water gels to keep plants hydrated.

We ship all plants with warming packets when shipped in cold climate, and packed to avoid as much movement as possible.

RETURNS:

We take pride in our products, and only source and ship best quality items, but, if you’re not 100% satisfied contact us for a replacement item, or return.

Shipping Notes
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SKU: 32013566830

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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
Whiting, 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.
Dallas, 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
Cuba, 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
I
Ira Laefsky
Alexandria, 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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