white and black striped dresses Striped Natural/Black Sweater Dress Natural/Black / XL
SKU: 29195836020
white and black striped dresses

white and black striped dresses Striped Natural/Black Sweater Dress Natural/Black / XL

Sale price$19.12 Regular price$21.24
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Size: 4

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Description

white and black striped dresses Striped Natural/Black Sweater Dress Natural/Black / XLStriped Mock Neck Dress Your favorite Crew Neck Striped Sweater now as a dress! The Striped Sweater Dress truly rounds out your wardrobe with its classic mock neckline, flattering fit, and timeless natural and black stripe pattern. Thoughtfully placed front pockets keep you cozy, while the soft sweater knit makes this a feel good fave youll love wearing again and again! Why youll love it: Long sleeve striped sweater dress in natural and black stripe

Striped Mock Neck Dress

Your favorite Crew Neck Striped Sweater - now as a dress! The Striped Sweater Dress truly rounds out your wardrobe with its classic mock neckline, flattering fit, and timeless natural and black stripe pattern. Thoughtfully placed front pockets keep you cozy, while the soft sweater knit makes this a feel-good fave you’ll love wearing again and again! 

Why you’ll love it:

  • Long sleeve striped sweater dress in natural and black stripe
  • Funnel mock neckline complements the casual, relaxed fit for an ultra comfy feel
  • Mini rib detail at sleeves and hemline keeps this sweater dress elevated
  • A classic wardrobe staple! Style this mock neck dress for seasons to come, whether paired with tall over the knee boots or layered over Fleece Lined Leggings for extra warmth! 
  • Material: 50% viscose, 28% polyester, 22% nylon
Sizing & Care

Crew neck sweater dress with front pockets and funnel mock neck. The knit has very good stretch. Fit is true to size but with a relaxed fit. Dress is not bodycon fitted and more of a tunic style fit.  If between sizes, size down.  Some, especially if not curvy, may be able to size down a full size.

Melissa is 5’5" size 4 between sizes Extra Small (XS) and Small (S) and wears the XS with a comfortable fit.
Model is 5'7" wearing an Extra Small (XS).

All measurements are standard design measurements of the garment laying flat. Double the number for circumference. This does not include any stretch the garment might have.

Size XS (0-2) S (4-6) M (8-10) L (10-12) XL (14-16)
Front Length 32 1/2" 33" 33 1/2" 34 1/2" 35 1/2"
Back Length 32 1/2" 33" 33 1/2" 34 1/2" 35 1/2"
Bust 18 3/4" 20" 21" 22 1/2" 24"
Bottom Opening 16 3/4" 18" 19" 20 1/2" 22"
Sleeve Length 20 1/4" 20 1/2" 20 3/4" 21" 21 1/4"
Bicep 6 1/4" 6 5/8" 6 7/8" 7 1/4" 7 5/8"
Sleeve Opening 3 5/8" 3 3/4" 3 7/8" 4" 4 1/8"

Care: Machine wash cold gentle cycle in garment bag with like colors. Mild detergent. Do not bleach. Reshape and dry flat. Cool iron if needed. STORE FLAT.

Material: 50% Viscose, 28% Polyester, 22% Nylon

Fit Video
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SKU: 29195836020

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Zay
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Reviewed in the United States on December 2, 2021
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Frank Gonzalez
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Reviewed in the United States on April 7, 2024
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Ira Laefsky
Natrona Heights, US
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An Excellent Self-Discovery Approach to Learning Algorithms
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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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