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Description
Sonic bar stools for 42" high tables — 42"1 2 Sonic Sonic is ideal for meeting rooms, office guest seating, food facilities, lecture halls, and just about anywhere. Sonic offers a wide range of models including guest chairs with or without arms, on four legs, sled bases or casters. Counter and bar height stools, task chairs, left or right tablet arm options and a beam seating solution round out the series. Backs are available in polypropylene, mesh or upholstered options. Seats can be
Sonic™
Sonic is ideal for meeting rooms, office guest seating, food facilities, lecture halls, and just about anywhere.
- Sonic offers a wide range of models including guest chairs with or without arms, on four legs, sled bases or casters. Counter and bar height stools, task chairs, left or right tablet arm options and a beam seating solution round out the series.
- Backs are available in polypropylene, mesh or upholstered options. Seats can be specified in either polypropylene or with an upholstered seat cushion for added comfort.
- The molded polypropylene seats and backs are now available with matching arms in a variety of colors and black. Choose a contrasting or coordinating eco-friendly painted frame finish, or opt for the timeless elegance of a Chrome frame.
- The molded seat and back offer exceptional durability and ease of cleaning, while the breathable mesh back provides additional flexibility and comfort.
- Choose from all plastic, plastic back with upholstered seat or fully upholstered models.
- Polypropylene seat and backs are available in a wide selection of designer colors.
- Mesh backs are available in black only.
- Tablet arm is extremely durable with a solid steel Chrome frame and surface comes standard in Black polymer.
- Tablet arm flips up to allow ease of entry/exit. Tablet also slides forward and back to accommodate any user comfortably. Tablet models do not stack.
- For Tables 42" High
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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- To process your return/exchange, please contact us at [email protected]
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4.7 ★★★★★
Based on 11 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
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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.
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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
★★★★★ 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