SKU: 69043584907

1960 Chevy Impala 2-Door Rear Long Quarter Wing Molding RIGHT SHOW

Sale price$261.00 Regular price$290.00
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Description

1960 Chevy Impala 2-Door Rear Long Quarter Wing Molding RIGHT SHOWDescription This 1960 Chevy Impala 2 Door Rear Long Quarter Wing Molding is an original GM used part that has been polished to show condition. The molding has good tabs and inserts although some may have one tab missing. Call for shipping quote if you want to purchase more than one side. To distinguish left from right you can see that the wide end is slanted. The peak of the slant is at the top if the molding was mounted on a car. SEC Restoration

Description

This 1960 Chevy Impala 2-Door Rear Long Quarter Wing Molding is an original GM used part that has been polished to show condition. The molding has good tabs and inserts although some may have one tab missing. Call for shipping quote if you want to purchase more than one side. To distinguish left from right you can see that the wide end is slanted. The peak of the slant is at the top if the molding was mounted on a car.

SEC Restoration Notes

This restored original GM passenger's side, rear door molding / trim is intended for the confirmed application. Because this item is sold through a core-exchange process, verify the core option before ordering.

Fits / Application

Years Make / Model Door Body Style Engine / Trans Notes
1960 Impala 2-door Hardtop
1960 Impala 2-door Convertible

Molding ID

Product type door molding / trim
Condition show quality / restored as listed
Side / position Passenger's Side, Rear

Product Details

GM/MFG#
Warranty 1-Year
Core Credit Accepted Yes
Dimensions
Notes Core-exchange restored original GM molding.

Core Required

Core required. This restored molding is sold through a core-exchange process. Choose the FAST option if you want SEC to charge the core upfront and ship the restored part immediately. Choose the SLOW option if you want to send your rebuildable core first to avoid the upfront core charge.

Related Parts

Ordering / Verification Notes

  • FAST: SEC charges the core upfront and ships the restored part immediately. After you send a rebuildable core back, SEC issues a 100% core refund. Customer is responsible for core return shipping.
  • SLOW: SEC waits for you to ship your rebuildable core before shipping the restored part, avoiding the upfront core charge. Please contact SEC before placing the order if choosing this option.
  • Non-rebuildable core warning: If the core is non-rebuildable, the customer is responsible for all shipping charges, including shipping the core back to the customer.
  • Verify year, model, body style, side/position, windshield molding profile, and core option before ordering.
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 69043584907

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4.1 ★★★★★
Based on 11 reviews
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CL
Lowell, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Verified Purchase
Amazon Customer
Massapequa, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Massapequa, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Whiting, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Verified Purchase
Rafael Azevedo Souza Costa
Chelsea, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025

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