SKU: 27069734097

LeMieux Essence Dressage Square

Sale price$98.99 Regular price$109.99
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Description

LeMieux Essence Dressage SquareDesigned for elite riders with technical performance that everyone can enjoy, the soft shell fabric of the Essence Collection of saddle pads exudes class. The contour quilted soft shell upper, meticulously designed to hug your horse's curves without wrinkling, is teamed with a soft, breathable self cool lining. The cooling material is woven with cooling fibres, controlling heat by transferring heat away from the skin and wicking sweat efficiently to

Designed for elite riders with technical performance that everyone can enjoy, the soft shell fabric of the Essence Collection of saddle pads exudes class.

The contour quilted soft shell upper, meticulously designed to hug your horse's curves without wrinkling, is teamed with a soft, breathable self-cool lining. The cooling material is woven with cooling fibres, controlling heat by transferring heat away from the skin and wicking sweat efficiently to cool your horse.

The warmer your horse gets, the harder the moisture-activated cooling lining works under the saddle. Combined with a full 3D carbon mesh spine for maximum airflow, this is a saddle pad uniquely designed for hardworking horses.

The high wither shape reduces pressure and enhances your saddle's fit. Elasticated saddle straps, thoughtfully designed to be slimmer at the point of connecting to the D-ring, leave room for extra accessories catering to your specific training needs.

The whole pad benefits from extensively researched, soft, friction-free binding that is specially fabricated to contour the edges smoothly. This technique helps retain the perfect saddle pad shape and binding profile.

Sporty rubberised piping gives the pad a clean, athletic aesthetic. The sporty matte-textured faux leather girth protection area is complemented by an embossed logo.

Our signature LeMieux hidden girth loop channels mean you can precisely place your girth.

A unique LeMieux branded faux leather tab provides a luxurious finishing touch.

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SKU: 27069734097

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4.0 ★★★★★
Based on 23 reviews
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Z
Verified Purchase
Zay
Natrona Heights, 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
R
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Rory Derrick
Lowell, 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.
Charlottesville, 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
Lowell, 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
Natrona Heights, 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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