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pink wedding dress mermaid Gorgeous Light Pink Floral Lace Off the Shoulder Mermaid Wedding Dress – AlineBridalGorgeous Light Pink Floral Lace Illusion Bateau Mermaid Wedding Dress, AB1501 Material: Tulle, Lace, Floral Applique, and Pongee. Sleeves: Cap Sleeves Neckline: Bateau Neck Color: As Shown (or choose Custom Color from our color chart). Size: We can do both standard size and custom size. If you need do custom sized dresses, please send us following measurements or leave a note when place an order. bust______ cm inch waist______cm inch hip:_______cm
Gorgeous Light Pink Floral Lace Illusion Bateau Mermaid Wedding Dress, AB1501
- Material: Tulle, Lace, Floral Applique, and Pongee.
- Sleeves: Cap Sleeves
- Neckline: Bateau Neck
- Color: As Shown (or choose Custom Color from our color chart).
-
Size: We can do both standard size and custom size. If you need do custom sized dresses, please send us following measurements or leave a note when place an order.
bust______ cm/inch
waist______cm/inch
hip:_______cm/inch
dress length:_______cm/inch
shoulder to shoulder :_______cm/inch (measured from back of shoulder)
shoulder to bust :_______cm/inch (measured from middle shoulder to nipple)
shoulder to waist :_______cm/inch (measured from middle of shoulder to natural waist)
shoulder to floor with shoes on :_______cm/inch (length from middle of shoulder over nipple to floor with shoes on)
nipple to nipple:_______cm/inch
armhole__________cm/inch (end of arm) -
Delivery time:
Rush order: within 21 days or even earlier.
Normal order: around 35 days. - Shipping: by UPS or DHL or some special airline.
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- Return Policy: please check Return Policy.
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- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.0 ★★★★★
Based on 842 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
★★★★★ 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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