SKU: 67092571460

Palit Rtx5060 Dual 8gb Gddr7 Ne75060019p1-Gb2063d Retail

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Palit Rtx5060 Dual 8gb Gddr7 Ne75060019p1-Gb2063d RetailPalit GeForce RTX 5060 Dual NVIDIA 8 GB GDDR7 Palit GeForce RTX 5060 Dual, GeForce RTX 5060, 8 GB, GDDR7, 128 bit, 7680 x 4320 Pixeles, PCI Express 5. 0 Puntos clave del producto NVIDIA GeForce RTX 5060 8 GB GDDR7 7680 x 4320 Pixeles 128 bit 28 Gbit s PCI Express 5. 0 Nmero de puertos HDMI: 1 Cantidad de DisplayPorts: 3 Versin DirectX: 12 Ultimate Versin OpenGL: 4. 6 1x 8 pin Procesador CUDA: Si Ncleos CUDA: 3840 Familia de procesadores de grficos:

Palit Rtx5060 Dual 8gb Gddr7 Ne75060019p1-Gb2063d Retail
Palit Rtx5060 Dual 8gb Gddr7 Ne75060019p1-Gb2063d Retail
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SKU: 67092571460

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4.7 ★★★★★
Based on 2201 reviews
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E
Verified Purchase
E. Fanning
Omaha, US
★★★★★ 5
A great book
Format: Hardcover
This book was absolutely great.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 20, 2024
Z
Verified Purchase
Zay
Waukegan, 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
R
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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.
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Reviewed in the United States on December 2, 2021
C
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Cory P.
Omaha, 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
F
Verified Purchase
Frank Gonzalez
Los Angeles, 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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