SKU: 41745550431

Industriële draaibare bureaustoel Emily antraciet

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Description

Industriële draaibare bureaustoel Emily antracietDe industrile draaibare bureaustoel Emily antraciet is een plaatje voor het oog en zit zeer comfortabel. De combinatie van de stiknaden en het design zorgt voor een bureaustoel met een stoere uitstraling. De bureaustoel is verstelbaar en 360 draaibaar. De draaibare bureaustoel Emily is een plaatje voor het oog en zit tevens comfortabel. De Emily bureaustoel heeft een hoog zitcomfort door de vorm van de ruime zitting. De Emily is in hoogte verstelbaar

De industriële draaibare bureaustoel Emily antraciet is een plaatje voor het oog en zit zeer comfortabel. De combinatie van de stiknaden en het design zorgt voor een bureaustoel met een stoere uitstraling. De bureaustoel is verstelbaar en 360° draaibaar.

De draaibare bureaustoel Emily is een plaatje voor het oog en zit tevens comfortabel. De Emily bureaustoel heeft een hoog zitcomfort door de vorm van de ruime zitting. De Emily is in hoogte verstelbaar en is 360 graden draaibaar. De design bureaustoel staat op vijf stevige wielen waardoor de bureaustoel gemakkelijk te verplaatsen is. De Emily bureaustoel is verkrijgbaar in verschillende kleuren.

Materiaal bekleding
De draaibare bureaustoel Emily is bekleed met microvezel en kenmerkt zich door de opvallende stiknaden wat de stoel een klassieke uitstraling geeft. Microvezel is materiaal dat wordt gemaakt van synthetische vezels zoals polyester en polyacryl. Ben je op zoek naar een materiaal dat onderhoudsarm is? Dan is een meubel van microvezel geschikt voor jou! Microvezel is heel erg sterk en slijtvast. De vezels zijn dun van structuur waardoor een meubel van microvezel zacht aanvoelt. Ook wanneer je je meubels op een lichte plek plaatst in je interieur, dan zal de stof haast niet verkleuren. Microvezel behoudt namelijk lang zijn kleur.

Materiaal frame
Draaibare bureaustoel Emily bevat een stoer, metalen frame met vijf zwarte wielen.

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SKU: 41745550431

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Zay
Phoenix, 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
Fort Morgan, 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.
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
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Frank Gonzalez
Massapequa, 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
Port Orchard, 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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