SKU: 61819992392

Casual Suit Man

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Description

Casual Suit ManProduct information: Version: Slim fit Collar type: lapel Placket: single row with one button Style: Leisure Pattern: check Fabric name: chemical fiber blended Content of main fabric components: 30 (%) Main fabric composition: polyester (polyester) Lining composition: polyester (polyester) Applicable scenario: leisure Split mode: no split Applicable population: youth Sleeve length: long sleeve Color; Grey, black, navy Size Information: Size: M, L, XL,

Product information:

Version: Slim fit
Collar type: lapel
Placket: single row with one button
Style: Leisure
Pattern: check
Fabric name: chemical fiber blended
Content of main fabric components: 30 (%)
Main fabric composition: polyester (polyester)
Lining composition: polyester (polyester)
Applicable scenario: leisure
Split mode: no split
Applicable population: youth
Sleeve length: long sleeve
Color; Grey, black, navy


Size Information:
Size: M, L, XL, 2XL, 3XL



Note:
1. Asian sizes are 1 to 2 sizes smaller than European and American people. Choose the larger size if your size between two sizes. Please allow 2-3cm differences due to manual measurement.
2. Please check the size chart carefully before you buy the item, if you don't know how to choose size, please contact our customer service.
3.As you know, the different computers display colors differently, the color of the actual item may vary slightly from the following images.

Packing list:

Men's coat X1


Product Image:


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SKU: 61819992392

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4.5 ★★★★★
Based on 19 reviews
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Product Reviews
Z
Verified Purchase
Zay
Louisville, 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
Verified Purchase
Rory Derrick
Belleville, 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.
West Palm Beach, 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
Phoenix, 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
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021

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