SKU: 81816044492
black and red dress shoes

black and red dress shoes Handcrafted Men's Black Patent Leather Wholecut Oxford | Size 10 | ARMOS | 2-Year Warranty

Sale price$26.01 Regular price$28.90
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Description

black and red dress shoes Handcrafted Men's Black Patent Leather Wholecut Oxford | Size 10 | ARMOS | 2-Year WarrantyDescription A strong statement of sophistication, this men's black patent leather wholecut Oxford is distinctive for its stunning high quality calf leather and almost a mirror reflection. The deep black color highlights the stunning presence of the shoe, while the smooth, uninterrupted silhouette increases its contemporary sophistication. Every stride reflects the smooth, liquid like sheen that distinguishes this pair from regular dress shoes. These

Description

A strong statement of sophistication, this men's black patent leather wholecut Oxford is distinctive for its stunning high-quality calf leather and almost a mirror reflection. The deep black color highlights the stunning presence of the shoe, while the smooth, uninterrupted silhouette increases its contemporary sophistication. Every stride reflects the smooth, liquid-like sheen that distinguishes this pair from regular dress shoes. These black patent leather Oxford lace-up shoes are created with an almond toe for a modern look and have a five-hole lace-up closure, retaining a crisp, custom appearance. Balancing style with all-day comfort, the inside leather lining and insole provide a luxuriously soft touch. The leather sole offers a quiet tribute to craftsmanship by displaying the metallic Armos logo embossing. Whether demanding attention at a gala or lending an evening outfit a strong accent, this black patent Oxfords gives a showstopping finish true sophistication is shown as much as it is worn.

Product details

      • Product code: 2000/8
      • Wholecut oxford
      • Crafted from calf patent leather
      • Calf leather lining and insole
      • Leather sole
      • Color: black
      • Five-hole lace-up fastening
      • Metallic Armos logo embossing on sole and side
      • Almond toe
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SKU: 81816044492

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4.7 ★★★★★
Based on 14 reviews
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Z
Verified Purchase
Zay
Alexandria, 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
West Palm Beach, 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
Houston, 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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