SKU: 71438172890

SAKAMOTO DAYS L/S T-Shirt (TAKAMURA)/ MINUS collaboration/TSMM25SM002

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Description

SAKAMOTO DAYS L/S T-Shirt (TAKAMURA)/ MINUS collaboration/TSMM25SM002L S T Shirt (TAKAMURA) MINUS collaboration Product MINUS MINUS DESIGNER: Toru Fujimoto NOT BEAUTIFUL. NOT CONSUMABLES. NOT ART. THIS IS A MESSAGE by The aesthetic sense we have in the primitive . ORDER( ) OREDER MADE IN JAPAN Graphic of Takamura, a member of ORDER, the special forces unit of the Japan Assassin Federation, commonly known as Kill Federation. The strongest within ORDER. A master of iaido, nicknamed The Kill Federation's Ghost. Represents

L/S T-Shirt (TAKAMURA)/ MINUS collaboration

【Product】
MINUSとのカスタムコラボレーション仕様
MINUS DESIGNER: Toru Fujimoto NOT BEAUTIFUL. NOT CONSUMABLES. NOT ART. THIS IS A MESSAGE by “The aesthetic sense we have in the primitive” .

 

 

日本殺し屋連盟、通称「殺連」の特務部隊「ORDER」( オーダー) の
メンバーである篁(たかむら)のグラフィック。OREDER 内最強。居合の
達人で通称「殺連の亡霊」。出会ったら最後の不可避な死を表現。
マテリアル、縫製、加工、プリントまで全てにこだわり抜いた、
MADE IN JAPAN 製。

Graphic of Takamura, a member of ORDER, the special forces unit of the Japan Assassin Federation, commonly known as “Kill Federation.”
The strongest within ORDER. A master of iaido, nicknamed “The Kill Federation's Ghost.”
Represents the final, unavoidable death upon encounter.

MADE IN JAPAN, meticulously crafted with an obsession for every detail—from materials and sewing to processing and printing.

 

Sizing M L XL
Body length 70.5 72.5 75
Shoulder width 62 64 67
Body width 62 64 67
Sleeve Length 59 60 61.5


Material:100% Cotton 
Color     :BLACK, WHITE
Origin   :JAPAN
※商品について
モデル:175cm 着用サイズ:L
サイズに関しては「SIZING」をご確認ください。
洗濯により劣化を早める恐れがありますので、洗濯表示をよくご確認の上お取り扱いください。

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SKU: 71438172890

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4.2 ★★★★★
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Z
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Zay
Lake Worth, 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
Boise, 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.
Bozeman, 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
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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.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Lexington, 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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