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Description
aFe Takeda 3in 304 SS Axle-Back Exhaust System w/ Blue Flame Tip 16-18 Ford Focus RS 2.3L (t)Power, sound and good looks is what this Takeda axle back exhaust delivers. Power gains of up to +7 horsepower and +10 lbs. x ft. torque as shown on our in house dyno. 3" 2 1 2" mandrel bent 304 stainless steel tubing and high flow transverse muffler offers maximum exhaust flow and incorporates a factory style exhaust valve to control the exhaust note. The valve utilizes the factory valve motor and factory performance modes. When closed, it directs
Power, sound and good looks is what this Takeda axle-back exhaust delivers. Power gains of up to +7 horsepower and +10 lbs. x ft. torque as shown on our in-house dyno. 3"- 2-1/2" mandrel bent 304 stainless steel tubing and high flow transverse muffler offers maximum exhaust flow and incorporates a factory style exhaust valve to control the exhaust note. The valve utilizes the factory valve motor and factory performance modes. When closed, it directs the exhaust through the high flow muffler for a smooth, tuned exhaust note. When opened, the exhaust is allowed to bypass the muffler and unleash the sound and performance of your RS. The high flow, stainless steel muffler is finished in high temp, metallic black powder coating for long lasting good looks. Dual 4 1/2" stainless steel exhaust tips with laser etched Takeda brand logo for a custom finish.This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2016-2018 | Ford | Focus | RS |
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4.2 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe.
Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us.
This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021
★★★★★ 1
Don't buy. Author's okay effort to publish what seems like a rough draft.
Format: Paperback
Poorly written, unnecessarily complex wording to code introduction/explanations, and path to solutions (cover to cover of the book) are the most bizarre of choices. Excessively wordy and dramatic (i.e. "let me tell you the entire history of human kind before we dive into anything programming/problem solving related." ). Either he's new to publishing or programming, or both. PASS.
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Reviewed in the United States on April 26, 2022