SKU: 97975446971

ruka damen gore tex filzstiefel

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Description

ruka damen gore tex filzstiefelDer wasserdichte RUKA GORE TEX Winterstiefel verbindet finnisches Erbe mit moderner Innovation ein modernes Update unseres klassischen SAANA Schneestiefels mit leichterem, agilerem Tragegefhl und schlankerem, urbanem Profil. Gefertigt aus leichtem, tiergerecht gewonnenen Wollfilz und gefttert mit isolierendem, wasserdichtem und atmungsaktivem GORE TEX Futter, hlt der RUKA die Fe bei eisigen Temperaturen warm und trocken. Verstrkungen aus Leder sorgen

Der wasserdichte RUKA GORE-TEX®-Winterstiefel verbindet finnisches Erbe mit moderner Innovation – ein modernes Update unseres klassischen SAANA-Schneestiefels mit leichterem, agilerem Tragegefühl und schlankerem, urbanem Profil. 

Gefertigt aus leichtem, tiergerecht gewonnenen Wollfilz und gefüttert mit isolierendem, wasserdichtem und atmungsaktivem GORE-TEX®-Futter, hält der RUKA die Füße bei eisigen Temperaturen warm und trocken. Verstärkungen aus Leder sorgen für Struktur, während die Trail GRIP Wintersohle mit niedrigem Profil sicheren Halt auf Schnee und Matsch bietet. 

Was auch immer der Winter bringt, RUKA hält Sie warm und geschützt. 

Wenn Sie eine geräumigere oder extrabreite Passform bevorzugen, empfehlen wir den SAANA-Stiefel. RUKA bietet eine schlankere Passform auf unserer regulären Leistenbreite. 

Details unter „Materialien“.

Größe wählen: Füße messen und mit der Innenlänge in der Größentabelle vergleichen.

  • LEISTENBREITE: H
  • OBERMATERIAL: Granitfarbener Wollfilz und schwarzes gewachstes Nubuk – weist Wasser und Schmutz ab
  • GORE-TEX® EXTRA WARM: Wasserdicht, atmungsaktiv und isolierend – extra warmes synthetisches Vier-Lagen-Futter für kalte Winterbedingungen      
  • HERAUSNEHMBARE EINLEGESOHLE: Komfort für Ihre Füße!
  • TRAIL GRIP SOHLE: Fortschrittliche Winter-Bodenhaftung, weiche TR-Gummimischung und flach geriffeltes Anti-Rutsch-Profil
  • WINTERSCHUTZ: Kälteschutz bis -35 ˚C
  • REIßVERSCHLUSS: Schnell und einfach an- und auszuziehen
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SKU: 97975446971

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4.3 ★★★★★
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Zay
Waukegan, 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
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Cory P.
Cuba, 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
Lexington, 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
Alexandria, 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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