casual dress shirts mens Dark Navy Checked Dress Shirt | The Abacus
SKU: 19584170586
casual dress shirts mens

casual dress shirts mens Dark Navy Checked Dress Shirt | The Abacus

$23.87 $26.52
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Size: 4
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Description

casual dress shirts mens Dark Navy Checked Dress Shirt | The AbacusFit & Specs Slim Fit Dress Shirt Best for slim lean builds with narrow shoulders; a niche slim cut through chest and arms. Dark navy check offers a low contrast look that feels refined and office ready. Fit: Slim (runs narrow in chest arms; size up if between sizes or prefer ease) Collar: Franklin semi spread (metal collar stays included) Fabric: 100% cotton, smooth weave Pattern: Dark navy check gingham Cuff: 2 button adjustable rounded cuffs Care:

Fit & Specs — Slim Fit Dress Shirt

Best for slim/lean builds with narrow shoulders; a niche slim cut through chest and arms. Dark navy check offers a low-contrast look that feels refined and office-ready.

  • Fit: Slim (runs narrow in chest/arms; size up if between sizes or prefer ease)
  • Collar: Franklin semi-spread (metal collar stays included)
  • Fabric: 100% cotton, smooth weave
  • Pattern: Dark navy check gingham
  • Cuff: 2-button adjustable rounded cuffs
  • Care: Machine washable; hang dry; easy-iron/steam; dry-clean friendly


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Dark navy gingham patterned dress shirt featuring a short semi-spread collar, versatile and perfect for semi-professional and casual wear. This gingham dress shirt is a great pattern to include in your collection of solids, stripes, and micro-check shirts.

This dress shirt draws its inspiration from the ancient abacus, a calculating tool historically utilized across the Near East, Europe, China, and Russia.

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SKU: 19584170586

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4.2 ★★★★★
Based on 50 reviews
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Z
Verified Purchase
Zay
Los Angeles, 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
Waukegan, 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.
Carnegie, 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
Alexandria, 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
Chelsea, 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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