SKU: 54292728587

SunRace M91 Rear Derailleur - 9-Speed, Long Cage, Black

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Description

SunRace M91 Rear Derailleur - 9-Speed, Long Cage, BlackThe SunRace M9 Rear Derailleuris designed for 9 speed MTB drivetrains. Product Specifics Cage Length: Long Chain Wrap Capacity (teeth): 45 Color: Black Drivetrain Speeds: 8 Drivetrain Speeds: 9 Largest Cog: 34 Rear Der Shifter Compatibility: Shimano Mountain Rear Derailleur Mount Type: Shimano Rear Direct Mount Weight: 342 Today's Stock Status 10+ Available to ship in 2 4 Business Days UPC: Not available EAN: 4710944242935 Manufacturer Part Number:

The SunRace M9 Rear Derailleuris designed for 9-speed MTB drivetrains.

    Product Specifics

    • Cage Length: Long
    • Chain Wrap Capacity (teeth): 45
    • Color: Black
    • Drivetrain Speeds: 8
    • Drivetrain Speeds: 9
    • Largest Cog: 34
    • Rear Der/Shifter Compatibility: Shimano Mountain
    • Rear Derailleur Mount Type: Shimano Rear Direct Mount
    • Weight: 342



    Today's Stock Status

    10+ Available to ship in 2-4 Business Days





    UPC: Not available
    EAN: 4710944242935
    Manufacturer Part Number: RDM91.LD00.1S1.BX
    RD0242 26881
    169119-Q0-L

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    SKU: 54292728587

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    4.3 ★★★★★
    Based on 1932 reviews
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    Verified Purchase
    Rory Derrick
    Lake Worth, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on December 2, 2021
    C
    Verified Purchase
    Cory P.
    Fort Morgan, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 3, 2021
    F
    Verified Purchase
    Frank Gonzalez
    West Palm Beach, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on April 7, 2024
    I
    Ira Laefsky
    Lowell, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 7, 2021
    S
    Susan
    Alexandria, US
    ★★★★★ 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on January 28, 2021

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