SKU: 48258319142
travelers palm indoor plant

travelers palm indoor plant Traveller's Palm Tree 7' – New Growth Designs

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Ships within 48 hours · Estimated delivery Oct 19 - Oct 24

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Description

travelers palm indoor plant Traveller's Palm Tree 7' – New Growth DesignsOur 7' Faux Fresh Travellers Palm tree features 20 large leaves in varied sizes attached to durable green stalks that arch outward from a thick base trunk, creating the bold, architectural form characteristic of this tropical species. The dramatic foliage and sturdy structure deliver the botanical realism and craftsmanship expected from our Faux Fresh collection, making this tree an excellent choice for interiors that benefit from height and

Our 7' Faux Fresh® Traveller’s Palm tree features 20 large leaves in varied sizes attached to durable green stalks that arch outward from a thick base trunk, creating the bold, architectural form characteristic of this tropical species.

The dramatic foliage and sturdy structure deliver the botanical realism and craftsmanship expected from our Faux Fresh® collection, making this tree an excellent choice for interiors that benefit from height and sculptural greenery.

Standing 7 feet tall, this scale works beautifully in residential interiors, offices, hospitality environments, and retail spaces where tropical foliage adds strong visual interest.

Each tree arrives positioned in a 10" diameter mache nursery pot finished with our signature faux Durt, making it easy to place into a decorative planter, basket, or architectural container to complement a wide range of interior styles.

Planters sold separately. See “Add A Planter” below for recommended options.

When a planter is selected, we create a custom foam insert inside the planter to secure the tree for a precise fit, and include pine bark for a finished installation.

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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 48258319142

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4.3 ★★★★★
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Zay
Bozeman, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Battle Creek, 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
C
Verified Purchase
Cory P.
Grantham, 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
F
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Frank Gonzalez
Lexington, 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
San Leandro, 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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