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Description
EBC 13+ Ford Fiesta 1.6 Turbo ST Redstuff Front Brake PadsThere are TWO reasons our customers love Redstuff, First because they are the lowest dust pad we have encountered by reducing dust by 60 90 percent. Plus the minimal dust you see is very easily removed with a simple sponge wash as it contains no steel fibre particles as in ALL OTHER pads. Second they brake like an alligator right from cold (as good as Original pads or better) and just get better as they heat up. This material is a Synthetic Fiber
There are TWO reasons our customers love Redstuff, First because they are the lowest dust pad we have encountered by reducing dust by 60-90-percent. Plus the minimal dust you see is very easily removed with a simple sponge wash as it contains no steel fibre particles as in ALL OTHER pads. Second they brake like an alligator right from cold (as good as Original pads or better) and just get better as they heat up.This material is a Synthetic Fiber based brake compound enhanced with ceramic particles. If you have previously tried EBC redstuff (pre-ceramic compound) this material is light years ahead. It lasts longer; it brakes better and is quieter. Being a hard wearing pad, bed-in times can be as long as 1000 miles and drivers must be patient until the pad takes up the shape of their disc (brake rotor). This is a truly impressive fast road pad for repeated heavy braking.It emits far less dust than semi-metallic pads and has been proven to stop a passenger car/sedan/sport compact/hot hatch 13 metres quicker than OEM pads from 100mph/160kph. Features EBC Brake-In surface coating which conditions rotor surface and accelerates pad bed-in. Nominal friction coefficient 0.5 with approx. 50-percent dust reduction.Most EBC Red Ceramic pads are approved to ECE R90 brake safety regulation.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.7 ★★★★★
Based on 20 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
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