SKU: 39132832315

panca per sala attesa 2 posti da ufficio con cuscino in acciaio e similpelle argento nero 292152

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Description

panca per sala attesa 2 posti da ufficio con cuscino in acciaio e similpelle argento nero 292152Panca per Sala d'Attesa Panca per Sala Attesa 2 Posti da Ufficio con Cuscino in Acciaio e Similpelle Argento Nero Struttura La struttura realizzata in acciaio, un materiale che garantisce la massima resistenza e durata, fattori essenziali in questo tipo di sedute progettate per un uso intensivo. E Classe 0 di reazione al fuoco essendo interamente metallica, quindi particolarmente adatta a strutture pubbliche soggette al CPI. Seduta La seduta

Panca per Sala d'Attesa

Panca per Sala Attesa 2 Posti da Ufficio con Cuscino in Acciaio e Similpelle Argento/Nero

Struttura
La struttura è realizzata in acciaio, un materiale che garantisce la massima resistenza e durata, fattori essenziali in questo tipo di sedute progettate per un uso intensivo. E’ Classe 0 di reazione al fuoco essendo interamente metallica, quindi particolarmente adatta a strutture pubbliche soggette al CPI.

Seduta
La seduta è realizzata in acciaio traforato di spessore 1,5 di color argento.

Braccioli e gambe
I braccioli e le gambe sono realizzati in acciaio di spessore 1,2 in finitura cromo.

Barra di sostegno
La barra di sostegno è a sezione quadrata ed è realizzata in acciaio di spessore maggiorato da 1,5 mm verniciato nero.

Piedi
I quatto piedi, realizzati in acciaio finitura cromo, sono regolabili in altezza, adattandosi ad ogni pavimento non complanare.

Certificazioni:

  • UNI EN 16139:2013 Mobili – Resistenza, durabilità e sicurezza – Requisiti per sedute non domestiche Punto 4.1-4.2.1-4.2.3-4.3.3
  • UNI EN 1022:2005 Mobili domestici – Sedute – Determinazione della stabilità Punto 6.2- 6.5- 6.6
  • UNI EN 1728:2018 Mobili – Sedute – Determinazione della stabilità Punto 6.4-6.5-6.6-6.10-6.11-6.15-6.16-6.17- 6.18-6.20-6.24-6.25-6.26-6.27.1
  • Conformità ai criteri ambientali minimi
Cuscini
Coppia di cuscini in multistrato curvato di 12 mm di spessore e imbottito in espanso indeformabile e rivestito in similpelle ignifuga da fissare sul sedile e sullo schienale della panca.

Caratteristiche Tecniche

  • Panca 2 Posti
  • Modello: Sedute attesa
  • Dimensioni (LxPxH): 125x71x78 cm
  • Larghezza seduta: 55 cm
  • Profondità seduta: 45 cm
  • Altezza seduta (da terra): 43 cm
  • Peso Prodotto: 29 Kg
  • Cuscini Imbottiti sul sedile e sullo schienale
  • Materiale: Lega di Acciaio e Similpelle
  • Colore: Argento/Nero
Shipping Notes
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Exchange/Return Notes
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SKU: 39132832315

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Zay
Louisville, 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
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
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Cory P.
Fort Morgan, 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
San Leandro, 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
Boise, 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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