SKU: 93197848745

Kendall Handbag Taiga Leather PM

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Description

Kendall Handbag Taiga Leather PMThese are professional pictures of the actual bag offered by Rebag. Estimated Retail Price: $1,360 Condition: Great. Creasing on exterior, faint wear in interior, scratches on hardware. Accessories: Luggage Tag, Poignet, With Strap Measurements: Handle Drop 4. 5", Height 13. 5", Width 18. 5", Depth 8. 5", Strap Drop 10 20" Designer: Louis Vuitton Model: Kendall Handbag Taiga Leather PM Exterior Material: Leather Exterior Color: Green Interior

These are professional pictures of the actual bag offered by Rebag.

Estimated Retail Price: $1,360
Condition: Great. Creasing on exterior, faint wear in interior, scratches on hardware.
Accessories: Luggage Tag, Poignet, With Strap
Measurements: Handle Drop 4.5", Height 13.5", Width 18.5", Depth 8.5", Strap Drop 10-20"
Designer: Louis Vuitton
Model: Kendall Handbag Taiga Leather PM
Exterior Material: Leather
Exterior Color: Green
Interior Material: Raw Leather
Interior Color: Green
Hardware Color: Gold
Brand Code: SP0987
Clair Code: HB.LV.KSTB.TL.PM
Item Number: 50088/30

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SKU: 93197848745

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4.4 ★★★★★
Based on 28 reviews
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Product Reviews
Z
Verified Purchase
Zay
Louisville, 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
Lake Worth, 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.
Battle Creek, 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
Los Angeles, 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
New York, 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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