SKU: 61865398073

Specialized Tarmac SL6 Pro SRAM Force AXS Roval 56 Carbon Racefiets

Sale price$1349.55 Regular price$1499.50
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Description

Specialized Tarmac SL6 Pro SRAM Force AXS Roval 56 Carbon RacefietsSpecialized Tarmac SL6 Pro SRAM Force AXS Roval Carbon Maat 56 Rotor Powermeter Racefiets Nette Staat 2. 999 Te koop: een prachtige Specialized Tarmac SL6 in maat 56, afgemonteerd met een indrukwekkend pakket aan hoogwaardige componenten. De Tarmac SL6 is een van de meest geliefde en bewezen racefietsen ter wereld, bekend om zijn perfecte balans tussen lichtgewicht, stijfheid en rijcomfort. Deze uitvoering is afgemonteerd met SRAM Force AXS, de

Specialized Tarmac SL6 Pro – SRAM Force AXS – Roval Carbon – Maat 56 – Rotor Powermeter – Racefiets – Nette Staat – €2.999

Te koop: een prachtige Specialized Tarmac SL6 in maat 56, afgemonteerd met een indrukwekkend pakket aan hoogwaardige componenten. De Tarmac SL6 is een van de meest geliefde en bewezen racefietsen ter wereld, bekend om zijn perfecte balans tussen lichtgewicht, stijfheid en rijcomfort.

Deze uitvoering is afgemonteerd met SRAM Force AXS, de draadloze elektronische groepset die razendsnel en betrouwbaar schakelt zonder kabels. Gecombineerd met de Rotor enkelzijdige powermeter beschik je over directe vermogensmeting tijdens elke rit — ideaal voor de serieuze wielrenner die op data gestuurd wil trainen en presteren.

De fiets is uitgerust met Roval carbon wielen, wat zorgt voor extra snelheid, directe acceleratie en een uitstraling die perfect past bij het karakter van de Tarmac SL6.

Specificaties

Model: Specialized Tarmac SL6 Maat: 56 Type: Racefiets Frame: Carbon Groepset: SRAM Force AXS (draadloos elektronisch) Wielen: Roval carbon wielset Powermeter: Rotor enkelzijdig Staat: Nette staat Prijs: €2.999

Over Bike Studio Pedal

Bike Studio Pedal is gespecialiseerd in nieuwe en jong gebruikte racefietsen, gravelbikes en mountainbikes in het hogere segment. Wij werken met topmerken zoals Specialized, Factor, De Rosa, Cannondale, BMC, Isaac en meer.

Daarnaast helpen wij met onderhoud & service, upgrades & maatwerk, fietsopbouw op maat en persoonlijk en eerlijk advies.

Interesse? Stuur gerust een bericht voor meer informatie of een bezichtiging. 🚀

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SKU: 61865398073

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Zay
Phoenix, US
★★★★★ 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
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Rory Derrick
Cuba, 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.
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Reviewed in the United States on December 2, 2021
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Cory P.
Massapequa, 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.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Omaha, 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
I
Ira Laefsky
Draper, 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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