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Wilwood Dynapro Low-Profile 11.00in P-Brake Kit Drilled Chevy 12 Bolt Spcl 2.81in Off Stag MountForged Dynapro Low Profile Pro Series rear disc brake kits provide a complete solution for popular muscle car rear axles on applications that require a parking brake assembly and extra clearance for 14. 00" to 15. 00" rim applications. Forged billet Dynapro Low Profile four piston calipers 11. 00" one piece hat and rotor assemblies, and high friction pads provide optimized and balanced braking for all types of custom performance street strip and show
Forged Dynapro Low-Profile Pro-Series rear disc brake kits provide a complete solution for popular muscle car rear axles on applications that require a parking brake assembly and extra clearance for 14.00" to 15.00" rim applications. Forged billet Dynapro Low-Profile four-piston calipers 11.00" one-piece hat and rotor assemblies, and high friction pads provide optimized and balanced braking for all types of custom performance street/strip and show machines. The neatly hidden internal shoe system provides a clean installation with superior static holding power for parking. Optional caliper finishes and rotor designs enable the builder to personalize the style and optimize brake performance for every individual application.Shipping Notes
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4.0 ★★★★★
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