SKU: 72128250839

RAM Game Room Dining & Game Chair in Antique White

Sale price$125.55 Regular price$139.50
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Description

RAM Game Room Dining & Game Chair in Antique WhiteThe RAM Game Room Dining Game Chair in Antique White is a simple and stylish seating option for your dining room, game room, or poker table. Made from solid wood, this chair features a clean armless design that fits easily around tables while helping save space. The padded black vinyl seat and backrest offer comfort for meals, card games, and gatherings with family and friends. With built in carpet sliders, the chair moves smoothly and makes it easy

The RAM Game Room Dining Game Chair in Antique White is a simple and stylish seating option for your dining room, game room, or poker table. Made from solid wood, this chair features a clean armless design that fits easily around tables while helping save space. The padded black vinyl seat and backrest offer comfort for meals, card games, and gatherings with family and friends. With built-in carpet sliders, the chair moves smoothly and makes it easy to pull in and out from the table.

RAM Game Room Dining Game Chair Features:

  • Antique White Finish: Bright finish adds a clean and classic look to your space.
  • Solid Wood Construction: Built from strong wood for lasting durability.
  • Padded Seat and Backrest: Soft black vinyl cushion helps keep you comfortable.
  • Armless Design: Simple design fits neatly around dining and game tables.
  • Easy to Move: Carpet sliders on the legs help the chair slide in and out with ease.
  • Great for Game Nights: Comfortable seating for poker, cards, board games, and more.
  • Fits Standard Tables: Designed for use with standard 30-inch-high dining and game tables.
  • Easy-Care Vinyl Upholstery: Simple to wipe clean and maintain.
  • Works in Many Spaces: Ideal for dining rooms, game rooms, entertainment areas, and home bars.
  • Comfortable Everyday Seating: Made for both daily use and special gatherings.
  • Also available in Cappuccino, Chestnut, English Tudor, Black, and Slate.
  • This dining game chair matches the RAM Game Room 48" Game Table in Antique White.

RAM Game Room Dining Game Chair Overview

Color (Finish) Antique White
Dimensions 18 W x 20 D x 37 H in
Material (Cover) Faux Leather
Material (Structure) Solid Wood
Style Traditional
Weight 18 lb
Manufacturer SKU GCHR3 AW

Home Bars USA Benefits:

  • FREE Ground Delivery. (Learn More)
  • Returns: If you are not satisfied with your purchase for any reason, we will gladly accept your return or exchange within 30 days. (Learn More)
  • Product Warranty: Home Bars USA is proud to be an Authorized Dealer of RAM Game Room. A 1-year limited manufacturer's warranty is provided. If you have specific questions about this product’s warranty, please contact us.
  • Availability: Ships in 2 business days.


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* Product specifications are subject to change without notice. Actual finishes, levels of distressing, and fabrics may vary from product photography and video content shown.
Shipping Notes
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SKU: 72128250839

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Rory Derrick
Dallas, 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.
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Reviewed in the United States on December 2, 2021
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Cory P.
Chelsea, 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.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Draper, 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.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Pawtucket, 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.
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Reviewed in the United States on February 7, 2021
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Susan
Whiting, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021

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