SKU: 86017603454

LED Wandlamp Marmerlook – Opaalglas – Modern Design | Aria

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Description

LED Wandlamp Marmerlook – Opaalglas – Modern Design | AriaDe Aria wandlamp is een meesterwerk van Italiaans mid century design, waarbij een massieve plaat van marmer fungeert als een natuurlijk canvas. De opvallende grijze adering van de steen vormt een dramatisch contrast met de zachte, glanzende glazen bollen. Deze "parels" verspreiden een serene, gelijkmatige gloed die de textuur van het marmer prachtig tot leven brengt. Dankzij het minimalistische, lineaire profiel kan de Aria zowel verticaal als

De Aria wandlamp is een meesterwerk van Italiaans mid-century design, waarbij een massieve plaat van marmer fungeert als een natuurlijk canvas. De opvallende grijze adering van de steen vormt een dramatisch contrast met de zachte, glanzende glazen bollen. Deze "parels" verspreiden een serene, gelijkmatige gloed die de textuur van het marmer prachtig tot leven brengt.

Dankzij het minimalistische, lineaire profiel kan de Aria zowel verticaal als horizontaal worden gemonteerd, waardoor het een veelzijdig artistiek element is in uw interieur. Of u nu een entree flankeert of een sculpturaal accent boven een dressoir plaatst, deze lamp brengt een ongekende architectonische elegantie en warmte in elke ruimte.

Kernspecificaties:

  • Materiaal: Hoogwaardige basis van steen met glazen kappen.
  • Lichtbron: Voorzien van G4 Bi-Pin fittingen voor een zachte, diffuse lichtopbrengst (warm-wit 3000k of neutraal-wit 4000k).
  • Uniek Karakter: Geen twee lampen zijn gelijk dankzij de natuurlijke variaties in de marmeren adering.
  • Beschikbare Maten:
    • 1-Head: 35 cm Hoog x 12 cm Breed.
    • 2-Head: 44 cm Hoog x 12 cm Breed.
  • Installatie: Geschikt voor verticale of horizontale wandmontage (Hardwired).
  • Toepassing: IP20-gecertificeerd, uitsluitend bestemd voor gebruik binnenshuis.

Met de Aria wandlamp kiest u voor een tijdloos sculpturaal object dat de rauwe schoonheid van natuursteen verenigt met verfijnd modern licht.

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SKU: 86017603454

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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
Birmingham, 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.
Carnegie, 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
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
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Ira Laefsky
Chelsea, 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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