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Description
Cremona Brown Casual Bedroom Set: Twin Panel Bed with 2 Drawer Storage, Dresser, Mirror, 2 Nightstands, ChestProduct Details Whether she loves horses or he's a cowboy at heart, Cremona Twin Bedroom Set matches their authenticity. Rustic finish, plank style details and nailhead trim pay homage to reclaimed barn wood, making for a chic look loaded with charm. The set includes Twin Storage Bed, Dresser, Mirror, Nightstand. Warm rustic plank finish over replicated Oak grain and authentic touch. The bed features 2 deep drawers on one side of the rails. Handles
Product Details
Whether she loves horses or he's a cowboy at heart, Cremona Twin Bedroom Set matches their authenticity. Rustic finish, plank-style details and nailhead trim pay homage to reclaimed barn wood, making for a chic look loaded with charm.
- The set includes Twin Storage Bed, Dresser, Mirror, Nightstand. Warm rustic plank finish over replicated Oak grain and authentic touch. The bed features 2 deep drawers on one side of the rails.
- Handles feature nailhead trim in a dark bronze metal finish. Slim profile dual USB charger located on the back of the night stand tops. The top of the cases and headboard panel is captured with a nail trimmed corner piece.
- The wide drawers of the dresser and chest provide ample storage space. Some assemble needed with all parts and instructions provided.
- Item Dimension: Headboard 42.40" W x 3.46" D x 53.82" H. Footboard 42.40" W x 3.46" D x 26.50" H. Rails 76.77" W x 18.11" D x 18.19" H. Assembled twin bed?42.40" x 82.99" x 53.82". Top drawer interior (2) 21.00" x 13.00" x 3.00"; Mirror 40.08" W x 2.64" D x 37.36" H. Middle drawer interior (2) 21.00" x 13.00" x 3.00"; Bottom drawer interior (2) 21.00" x 13.00" x 4.00"; Assembled dresser 54.41" x 16.61" x 69.13". Nightstand 24.72" W x 16.18" D x 26.22" H. Chest 34.25" W x 16.18" D x 54.69" H
- Important: delivery appointment and Signature required. Standard Curbside Delivery Included. Upgrade Inside Delivery Service Upon Request. Photo may slightly different from actual item in terms of color due to the lighting during photo shooting or the monitor's display
- Item SKU: AFB446-53-52-50-21-26-91-91-46
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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
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Reviewed in the United States on October 23, 2024
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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.
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Reviewed in the United States on December 2, 2021
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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
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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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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