SKU: 9194910175

Tricam Inflatable Swim and Snow Tube

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Description

Tricam Inflatable Swim and Snow TubeSize: 32 Inches The Tricam BT 32 Inflatable Swim and Snow Tube is made for year round fun from sledding in the winter to floating in a pool or lake in the summer. The tube is made of tear resistant, durable rubber and measures 32 inches when properly inflated, making it comfortable whether you`re relaxing on the water or flying down a snow covered hill. The rubber coated valve stem features a low profile design so it doesn`t interfere with using the

Size:32-Inches

The Tricam BT-32 Inflatable Swim and Snow Tube is made for year-round fun from sledding in the winter to floating in a pool or lake in the summer. The tube is made of tear-resistant, durable rubber and measures 32 inches when properly inflated, making it comfortable whether you`re relaxing on the water or flying down a snow-covered hill. The rubber coated valve stem features a low profile design so it doesn`t interfere with using the tube. This model is designed for children and adults up to 120 pounds and should not be used as a life saving device. All you have to do is remove the tube from the box, inflate it with air and let the fun begin. The Tricam BT-32 Inflatable Swim and Snow Tube comes with a 1-year limited warranty that protects against any defects due to faulty material or workmanship. Tricam Industries has the reputation as being the leading consumer products company that specializes in the design, engineering, marketing and manufacturing of hardlines products. The company continues to build its reputation in the market by providing their customers with the most competitive programs in the industry focusing on quality, innovation and execution.

  • Year-round fun from sledding in the winter to floating in a pool in the summer
  • Tear-resistant rubber and measures 32-inch when properly inflated
  • For children and adults with a 120-pound weight capacity
  • Rubber coated valve stem with a low profile design
  • 1-year limited warranty
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SKU: 9194910175

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4.8 ★★★★★
Based on 23 reviews
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Z
Verified Purchase
Zay
Whiting, 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
Battle Creek, 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
C
Verified Purchase
Cory P.
Lowell, 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
F
Verified Purchase
Frank Gonzalez
New York, 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
Lake Worth, 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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