SKU: 69071470569

Red Creek Riller: Linear Fine

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Description

Red Creek Riller: Linear FineRed Creek Rill Tools (aka structure tools) offer the widest variety of rill patterns on the market. The Fine Linear Cut is great for combining with coarse and christmas tree or also by itself in cold, drier, fine snow. A step between Ultrafine Linear and 1mm Linear. When combining, it is best used on the tail section of a ski. For a warmer temperature, apply more pressure on the tool for deeper structure. For colder temperatures, use less pressure

Red Creek Rill Tools (aka structure tools) offer the widest variety of rill patterns on the market. The Fine Linear Cut is great for combining with coarse and christmas tree or also by itself in cold, drier, fine snow. A step between Ultrafine Linear and 1mm Linear. When combining, it is best used on the tail section of a ski. For a warmer temperature, apply more pressure on the tool for deeper structure. For colder temperatures, use less pressure with more passes if desired. The differing patterns of rill allow techs to tune the structure perfectly to match the snow's moisture content. As a general rule, the coarser a structure tool is, the warmer the temperature it is used for. Red Creek also recommends to use a coarser tool than normal when higher speed is snow is applicable. Hand structure will revert with each fresh wax job. Keep your Red Creek structure tools functioning order by cleaning with wax remover and a ultrafine steel brush to remove excess wax and fluoros. Structure is vital in a post-fluoro waxing world. Get your much-needed tools here today.
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SKU: 69071470569

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Zay
Pawtucket, 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
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Reviewed in the United States on October 23, 2024
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Rory Derrick
New York, 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.
West Palm Beach, 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
Chelsea, 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
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Ira Laefsky
Boise, 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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