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Description
black dress with long sleeves NW Long Sleeve Maxi DressShaping without shapewear, this bodycon dress sculpts your curves with a soft, stretchy second skin fit. High function and dynamic, the mock neck silhouette carries you from brunch to nightcap with comfort, ease, and transformative confidence. Legacy Collection Import 95% Viscose, 5% Spandex Model wears size X Small in Black True to size This dress is double lined
Shaping without shapewear, this bodycon dress sculpts your curves with a soft, stretchy second-skin fit. High-function and dynamic, the mock neck silhouette carries you from brunch to nightcap with comfort, ease, and transformative confidence.
- Legacy Collection
- Import
- 95% Viscose, 5% Spandex
- Model wears size X-Small in Black
- True to size
- This dress is double-lined
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4.4 ★★★★★
Based on 30 reviews
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Product Reviews
★★★★★ 5
A great book
Format: Hardcover
This book was absolutely great.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 20, 2024
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
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