SKU: 39435730859

OOmy Stride Recovery-Sneaker Herren - moroccan blue

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Description

OOmy Stride Recovery-Sneaker Herren - moroccan blueDer Recovery Sneaker OOmy Stride von OOFOS ist das ideale Schuhwerk fr alle, die auf der Suche nach maximaler Erholung und Komfort sind. Dieser Sneaker ist auf der bewhrten Grundlage der OOfoam Technologie aufgebaut und wurde mit neuen Features entwickelt, um die Aufprallabsorption und Erholung zu verbessern. Von der weichen Ferse bis zum mhelosen Abrollen der Zehen ermglicht das OOfoam Ihnen, Ihren Schritt in Bestform zu finden. OOFOS ist ein

Der Recovery-Sneaker OOmy Stride von OOFOS ist das ideale Schuhwerk für alle, die auf der Suche nach maximaler Erholung und Komfort sind. Dieser Sneaker ist auf der bewährten Grundlage der OOfoam™-Technologie aufgebaut und wurde mit neuen Features entwickelt, um die Aufprallabsorption und Erholung zu verbessern. Von der weichen Ferse bis zum mühelosen Abrollen der Zehen ermöglicht das OOfoam™ Ihnen, Ihren Schritt in Bestform zu finden. OOFOS ist ein innovativer Hersteller, der sich auf die Entwicklung von Schuhen spezialisiert hat, die die Erholung nach dem Training fördern. Die Marke verbindet Komfort, unterstützende Funktionalität und ein stilvolles Design, um Schuhe zu schaffen, die perfekt auf die Bedürfnisse von aktiven Menschen zugeschnitten sind. OOFOS hat es sich zur Aufgabe gemacht, Schuhe herzustellen, die nicht nur gut aussehen, sondern auch die Gesundheit und das Wohlbefinden der Träger fördern. Mit dem Recovery-Sneaker OOmy Stride bieten sie eine Kombination aus modernster Technologie und erstklassiger Verarbeitung, um sicherzustellen, dass Sie sich nach jedem Training schnell und effektiv erholen können. Entdecken Sie mit OOFOS die Zukunft des Schuhwerks und investieren Sie in Ihre Gesundheit und Leistungsfähigkeit.

  • Atmungsaktives 4-Wege-Stretch-Obermaterial für Beweglichkeit
  • Gepolsterte Fersenstütze für die Achillessehne
  • Technisch gestrickter Kragen und Schnürsystem für eine perfekte Passform
  • Antimikrobielles Fußbett-Futter
  • Gerundete OOfoam™-Fersen-Geometrie für verbesserte Aufprallabsorption
  • Tiefere Flex-Rillen für erhöhte Traktion und Langlebigkeit

Material: 100% Kunststoff

Hersteller: Oofos Inc., Granite St., Suite 2201 350, MA 02184 Braintree, USA, https://www.oofos.com
Verantwortliche Person in Europa: Arnold Sports GmbH, Rothelebuch 7, 87637 Seeg, Deutschland, [email protected], https://www.arnoldsports.de

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SKU: 39435730859

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4.9 ★★★★★
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Z
Verified Purchase
Zay
Lowell, 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
Cuba, 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
Verified Purchase
Cory P.
Los Angeles, 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
New York, 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
Battle Creek, 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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