black long dress with slit Black Mock neck sleeveless low slit dress
SKU: 51955097379
black long dress with slit

black long dress with slit Black Mock neck sleeveless low slit dress

Sale price$21.04 Regular price$23.38
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Size: 4

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Description

black long dress with slit Black Mock neck sleeveless low slit dressElegant maxi evening sleeveless mermaid dress created from atlas fabric with delicate bodice and high neckline. Features an open back, a sleeveless design, short train and a low thigh slit. The bodice finishes with a delicate seam to underline the waistline. Details: Material: Atlas Sleeves style: Sleeveless Silhouette: Straight silhouette Skirt length from waist: 45. 2 inches 115 cm Dress weight: 2. 42 lbs 1. 1 kg Neckline: High mock neck Back: Open

Elegant maxi evening sleeveless mermaid dress created from atlas fabric with delicate bodice and high neckline. Features an open back, a sleeveless design, short train and a low thigh slit. The bodice finishes with a delicate seam to underline the waistline. 

Details:

  • Material: Atlas
  • Sleeves style: Sleeveless
  • Silhouette: Straight silhouette
  • Skirt length from waist: 45.2 inches / 115 cm
  • Dress weight: 2.42 lbs / 1.1 kg
  • Neckline: High mock neck
  • Back: Open back with zipper on the skirt
  • Built-in cups
  • Lining: Without the underskirt
  • Model is 177cm / 83-61-89, wearing size XS

      Art.N.: 1000-17/2 Black

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      SKU: 51955097379

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      4.4 ★★★★★
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      Z
      Verified Purchase
      Zay
      Grantham, 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
      Lexington, 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.
      Phoenix, 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
      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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on April 7, 2024
      I
      Ira Laefsky
      Grantham, 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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