SKU: 56835526151

WANDORDNER – Wandmontage schoenenrek met afvoer voor ruimtebesparende opslag

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Description

WANDORDNER – Wandmontage schoenenrek met afvoer voor ruimtebesparende opslagIntelligente verticale schoenenopslag met sneldrogen WANDORDNER maakt gebruik van vrije wandoppervlakken om schoenen netjes en hyginisch op te bergen. Het gentegreerde afvoersysteem ondersteunt het snelle drogen van natte schoenen en is ideaal voor vochtige woonruimtes. WAAROM MENSEN VAN WANDORDNER HOUDEN? Ruimtebesparend wandontwerp Maakt gebruik van verticale ruimte en creert meer vrije vloerruimte Gentegreerd afvoersysteem Leidt water af en

Intelligente verticale schoenenopslag met sneldrogen

WANDORDNER maakt gebruik van vrije wandoppervlakken om schoenen netjes en hygiënisch op te bergen. Het geïntegreerde afvoersysteem ondersteunt het snelle drogen van natte schoenen en is ideaal voor vochtige woonruimtes.

WAAROM MENSEN VAN WANDORDNER HOUDEN?

  • Ruimtebesparend wandontwerp – Maakt gebruik van verticale ruimte en creëert meer vrije vloerruimte
  • Geïntegreerd afvoersysteem – Leidt water af en ondersteunt sneller drogen
  • Eenvoudige wandmontage – Snelle installatie zonder ingewikkeld gereedschap
  • Veelzijdig toepasbaar – Geschikt voor badkamer, gang, wasruimte of berging
  • Robuuste kunststofconstructie – Ontworpen voor dagelijks gebruik en onderhoudsvriendelijk

SPECIFICATIES

  • Materiaal – Duurzaam kunststof voor licht gewicht en eenvoudige reiniging
  • Afmetingen – 60 cm × 15 cm voor efficiënte opslag
  • Belastbaarheid – Draagt tot 5 kg voor gangbare dagelijkse schoenen
  • Kleur – Wit, passend bij de meeste interieurstijlen
  • Montagetype – Veilige wandmontage voor stabiele bevestiging

WAT ZIT ER IN DE DOOS?

  • 1 × WANDORDNER Wandmontage schoenenrek
  • 1 × Set montagebouten
  • 1 × Montagehandleiding
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SKU: 56835526151

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Z
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Zay
Boise, 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
R
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Rory Derrick
Pawtucket, 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.
Louisville, 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
Port Orchard, 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
Grantham, 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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