rondo gravel bikes Rondo Ruut ST2 Gravel Plus Bike
SKU: 36000367639
rondo gravel bikes

rondo gravel bikes Rondo Ruut ST2 Gravel Plus Bike

Sale price$22.55 Regular price$25.06
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Description

rondo gravel bikes Rondo Ruut ST2 Gravel Plus BikeThe RUUT ST2 is a classic bike that is comfortable, versatile and robust, with a lightweight Tange Champion steel frame and TwinTip 2. 0 Carbon V2 forks in a new classy gray black color for 2022. Equipped with robust components that are built to last are, including reliable and easy to maintain REVER MCX mechanical flat brakes, a SRAM Apex 1 drivetrain and Rondo aluminum rims on WTB Nano tires. With a more accessible price point, it is an ideal option

The RUUT ST2 is a classic bike that is comfortable, versatile and robust, with a lightweight Tange Champion steel frame and TwinTip 2.0 Carbon V2 forks in a new classy gray / black color for 2022. Equipped with robust components that are built to last are, including reliable and easy-to-maintain REVER MCX mechanical flat brakes, a SRAM Apex 1 drivetrain and Rondo aluminum rims on WTB Nano tires. With a more accessible price point, it is an ideal option for the beginner who needs a bike to go the extra mile.

Frame:

RUUT TANGE

Forks:

TWINTIP CARBON

Frame sizes:

S, M, L, XL

Handleable:

RONDO FLARE 420MM(S), 440MM(M,L), 460MM(XL)

Brains:

VELO COMFORT TAPE

Stem:

RONDO 80MM(S), 90MM(M), 110MM(L), 110MM(XL)

Headset:

UPPER STACK: IS 42 / 28.6 LOWER STACK: IS 52 / 40 SHIS

Saddle:

SELLE ITALIA MODEL X

Seat post:

RONDO 350

Brakes:

TRP 160MM/160MM/PRO 5.0 FM

Shifters:

SRAM APEX 1

Crankset:

FSA OMEGA EXO 42T 170MM(S), 172.5MM(M,L), 175MM (XL)

Bottom bracket:

BSA 68mm

Derailleur rear:

SRAM APEX 1 TYPE 2.1

Cassette:

MICROSHIFT 11-42 11 SPEED

Chain:

SRAM PC1130

Hubs:

RONDO SUPERLIGHT SEALED BEARINGS

Rims:

RONDO ALUMINUM 622-23 TUBELESS COMPATIBLE*

*tubeless tape, valve and sealant not included

Axle front:

100/12mm/thread 1.5

Axle rear:

142/12mm/thread 1.75

Tires:

WTB NANO 700C X 40

Tire Clearance:

700c x 40/27.5 x 2.2 (622-40, 584-57)

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SKU: 36000367639

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Zay
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★★★★★ 5
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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
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Rory Derrick
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Good book
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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
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Cory P.
Carnegie, US
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Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Port Orchard, 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
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Ira Laefsky
Battle Creek, 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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