SKU: 3146355954

Tomytec Honda Civic Type R 97 Tomica Limited Vintage Neo 1/64 Lv-N158B Silver

Sale price$62.30 Regular price$69.22
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Ships within 48 hours · Estimated delivery Jul 17 - Jul 22

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Description

Tomytec Honda Civic Type R 97 Tomica Limited Vintage Neo 1/64 Lv-N158B SilverDescription The Tomytec Honda Civic Type R 97 Tomica Limited Vintage Neo 1 64 Lv N158B Silver is a meticulously crafted collectible model that captures the iconic design of the classic 1997 Honda Civic Type R. Produced by Tomytec, this miniature car is designed at a 1 64 scale, offering enthusiasts an authentic and detailed replica of this legendary vehicle. This limited edition silver model from the Tomica Vintage Neo series features exceptional

Description

The Tomytec Honda Civic Type R 97 Tomica Limited Vintage Neo 1/64 Lv-N158B Silver is a meticulously crafted collectible model that captures the iconic design of the classic 1997 Honda Civic Type R. Produced by Tomytec, this miniature car is designed at a 1/64 scale, offering enthusiasts an authentic and detailed replica of this legendary vehicle.

This limited edition silver model from the Tomica Vintage Neo series features exceptional craftsmanship, showcasing every curve and detail with precision. Whether you are a dedicated collector or a fan of automotive history, this model stands out as a remarkable addition to any collection.

Details

• Specifications:

  • 1/64 scale model
  • Pre-painted
  • Die-cast body
  • Limited edition

• Condition: Brand New

• Product Material: Die-cast metal and plastic

• Manufacturer: Tomytec

• Recommended Age: 15+

Features

  • Highly detailed replica of the 1997 Honda Civic Type R
  • Pre-painted die-cast metal body with plastic parts
  • Limited Vintage Neo series collectible
  • Perfect scale size for display and collection
  • No assembly required, ready to display

Care instructions

To maintain the quality of your Tomytec Honda Civic Type R model, gently dust it regularly using a soft, dry cloth. Avoid using water or cleaning agents as they may damage the paint or decals. Store the model in a dust-free display case away from direct sunlight to prevent fading. Handle with care to avoid scratches or damage to delicate parts.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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  • Delivery to the USA:
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 3146355954

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Zay
Louisville, 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
Chelsea, 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.
Alexandria, 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
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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
I
Ira Laefsky
Fort Morgan, 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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