SKU: 1499725102

[w-pts25-098] Low Edge Convex Jogger - Light Real Tree

$1826.10 $2029.00
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Description

[w-pts25-098] Low Edge Convex Jogger - Light Real TreeDETAIL French Terry Convex Convex Grunge Viper Badblood 450gsm Viper Badblood FABRIC Cotton 100% SIZE ( ) XXS l 99cm 29cm 30cm 60cm 34cm 32cm XS l 103cm 31cm 32cm 62cm 35cm 33cm S l 107cm 34cm 33cm 65cm 37cm 34cm M l 111cm 36cm 34cm 67cm 38cm 35cm L l 115cm 38cm 35cm 69cm 39cm 36cm SIZE TIP This product is unisex MODEL INFO 173cm 56kg S CARE

DETAIL

採用重磅法式毛圈布（French Terry）製成的毛邊 Convex 慢跑褲。
兩側採用鉚釘收邊的側邊插袋，並配置同布料腰帶與腰帶環。
膝部 Convex 結構線條設計。腰部鬆緊帶、側縫、膝部及後側皆有 Grunge 風格細節。
褲腳與後側配有可調節的束帶設計。
前側／內部腰部使用 Viper 織標，後側配置 Badblood 補丁。

產品細節：

450gsm 重磅法式毛圈布

舒適寬鬆的寬版版型

兩側鉚釘收邊的插袋

前側／內腰 Viper 織標，後側 Badblood 補丁

厚度適中 / 不透光 / 無彈性 / 無內裡


 

FABRIC

Cotton 100%

 

SIZE  (總長 / 腰圍單面 / 頂部 / 臀圍單面 / 大腿圍單面 / 褲腳)

XXS l 99cm / 29cm / 30cm / 60cm / 34cm / 32cm

XS l 103cm / 31cm / 32cm / 62cm / 35cm / 33cm

S l 107cm / 34cm / 33cm / 65cm / 37cm / 34cm

M l 111cm / 36cm / 34cm / 67cm / 38cm / 35cm

L l 115cm / 38cm / 35cm / 69cm / 39cm / 36cm


SIZE TIP

This product is unisex

由於每個人對於版型的偏好可能有所不同，建議尺寸僅供參考，敬請留意。

 

MODEL INFO

模特173cm/56kg/S

 

CARE

必須使用冷水單獨手洗。
請勿高溫烘乾或高溫熨燙。
本商品材質較敏感，請小心處理。
由於纖維特性，可能會起毛或勾線，請注意避免摩擦。
因纖維特性，可能會發生染色轉移，請避免與淺色衣物重疊穿著，特別是在濕潤狀態下需特別注意。

Shipping Notes
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Exchange/Return Notes
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SKU: 1499725102

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4.1 ★★★★★
Based on 15 reviews
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Product Reviews
R
Verified Purchase
Rory Derrick
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
Carnegie, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
S
Susan
Birmingham, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 28, 2021

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