Rapido (199006A) | Magor 54' Department of Defense Flatcar | Amtrak #15791 | HO Scale

Rapido (199006A) | Magor 54' Department of Defense Flatcar | Amtrak #15791 | HO Scale

Marsoni

M251S

$59.99

Get it in 3 business days with 1 day shipping. Friday, May 29

Rapido (199006A) | Magor 54' Department of Defense Flatcar | Amtrak #15791 | HO ScaleAt the height of the Korean War, the US Army required a new fleet of rolling stock to transport military hardware across the nation on any railroad. Notably, a large order for 650 cars was placed with the Magor Car Corporation to handle the heavier and larger tanks and other military equipment of the era. Delivered between April and July 1953, the Magor fleet came in at 54 and weighed in at around 36 tons with a 100 ton load carrying capacity.

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Through Chapter 11 so far and the Figures are frequently very wrong. There seem to be a couple other minor errors, but this desperately needs an update for the Kindle version. Content otherwise seems good so far, so hope this gets fixed. Update: Just after I entered this, the figures seem to have been updated. Checked 4 and all are fixed, so moved the rating up one and will update when through all chapters.

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Reviewed in the United States on February 22, 2023

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Robert McCulloch

Fort Morgan, US

★★★★★ 5

The best python data science book.

Format: Paperback

Covers all the essentials very clearly.

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Reviewed in the United States on February 15, 2023

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Bozeman, US

★★★★★ 5

Amazing quality!

Format: Paperback, Format: Paperback

Excellent condition! Highly recommend this seller 10/10

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Reviewed in the United States on May 16, 2025

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Carnegie, US

★★★★★ 1

Printed in black and white! Do not buy

Format: Paperback

Here we have a book with a bunch of color-coded plots, but the whole thing is printed in black and white. The content is good, but on the whole 2/10 would not recommend.

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Reviewed in the United States on June 26, 2024

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Andrew

Charlottesville, US

★★★★★ 3

Why in black and white!?

Format: Paperback

A major section of this book is on data visualization, where it discusses how to set the color of data points, as well as how to make certain color gradients. Why then would the publisher choose to print these sections in black and white. Some of the figures are proved pointless as you can't even see what the author is trying to convey. Really disappointed with that section of this book.

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Reviewed in the United States on November 15, 2025