SKU: 80172614779
metal hanging planter

metal hanging planter Triflora Hanging Planter White/Black

Sale price$23.50 Regular price$26.11
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Ships within 48 hours · Estimated delivery Aug 31 - Sep 5

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Description

metal hanging planter Triflora Hanging Planter White/BlackTriflora is a hanging planter for indoor plants that combines the utility of a drapery rod with the beauty of potted plants. Great for herbs, succulents, vine plants and more, Triflora Hanging Planter mounts to your wall or ceiling and adds functionality to your window by turning it into a space for growing plants. You can adjust the length of Trifloras ropes and slide them anywhere along the metal rod to customize the position of each hanging pot.

Triflora is a hanging planter for indoor plants that combines the utility of a drapery rod with the beauty of potted plants. Great for herbs, succulents, vine plants and more, Triflora Hanging Planter mounts to your wall or ceiling and adds functionality to your window by turning it into a space for growing plants. You can adjust the length of Triflora’s ropes and slide them anywhere along the metal rod to customize the position of each hanging pot. The durable melamine pots can hold standard 3-inch diameter pots (so there’s no need for re-potting).


Features

  • Display Plants In Any Window: By hanging 3 small planters on an extendable metal rod, Triflora makes it easy to water and display plants in your window without taking up space on the window sill
  • Adjusts Horizontally and Vertically: Slide Triflora’s three ropes along the metal rod and adjust their lengths to fully customize the placement of each hanging planter
  • Holds Standard Size Pots: Triflora Hanging Planter features durable melamine planters that fits standard 3-inch diameter pots. Holds up to 22lbs.
  • All Mounting Hardware Included: Triflora comes with mounting hardware, fits any standard 24-inch window, and can be ceiling or wall-mounted; ideal for herbs, succulents, vines and more
  • Available in White color
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • 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: 80172614779

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4.3 ★★★★★
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Verified Purchase
Zay
Houston, 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
New York, 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
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Cory P.
Houston, 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
Verified Purchase
Frank Gonzalez
Draper, 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
Charlottesville, 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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