SKU: 85507198465

Baki-Dou S/S Tee (HANMA YUJIRO)/TBKM26SM003

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Description

Baki-Dou S/S Tee (HANMA YUJIRO)/TBKM26SM003Baki Dou S S Tee (HANMA YUJIRO) Product MADE IN JAPAN A fighter of overwhelming power, known as the strongest creature on Earth. As the father of Baki Hanma, he possesses physical abilities and combat instincts that go far beyond human limits, dominating every powerful opponent who stands before him. Driven by a pure pursuit of strength, he radiates an overwhelming charisma that inspires both fear and awe. Crafted in Japan with meticulous attention to

Baki-Dou S/S Tee (HANMA YUJIRO)

【Product】
「地上最強の生物」と称される、圧倒的な力を持つ格闘家。範馬刃牙の父であり、常識を超えた身体能力と戦闘センスで、あらゆる強者をねじ伏せる存在。純粋な強さを追い求め、恐怖と畏敬を同時に抱かせる圧倒的なカリスマ性を放つ。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。


A fighter of overwhelming power, known as “the strongest creature on Earth.” As the father of Baki Hanma, he possesses physical abilities and combat instincts that go far beyond human limits, dominating every powerful opponent who stands before him. Driven by a pure pursuit of strength, he radiates an overwhelming charisma that inspires both fear and awe.
Crafted in Japan with meticulous attention to every detail, from the material and sewing to the processing and print.


Sizing M L XL
Body length 70.5 72.5 75
Shoulder width 59 61 64
Body width 62 64 67
Sleeve Length 21.5 22.5 23.5


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。
グラフィックの色味は照明などの影響により実物と異なる可能性がございますのでご了承ください。
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SKU: 85507198465

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4.1 ★★★★★
Based on 13 reviews
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Z
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Zay
Lexington, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Houston, 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.
Lake Worth, 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
Waukegan, 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
Whiting, 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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