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Ships within 48 hours · Estimated delivery Jul 10 - Jul 15
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Description
Advanced Graphics Basketball Player Stand-in Life Size Cardboard Cutout StandupBrand: Cardboard People Color: Basketball Stand in Features: Cardboard Standee Details: Standing size is 36"W x 58"H. Cardboard cutouts are shipped flat and come with pre scored lines and fold out flaps, making assembly easy and quick. Durable and Reusable: Made from high quality, sturdy cardboard, our cutouts are built to last. They can easily be stored and reused for countless occasions, ensuring long lasting enjoyment. When not in use, cardboard
Brand: Cardboard People
Color: Basketball Stand-in
Features:
- Cardboard Standee Details: Standing size is 36"W x 58"H. Cardboard cutouts are shipped flat and come with pre-scored lines and fold-out flaps, making assembly easy and quick.
- Durable and Reusable: Made from high-quality, sturdy cardboard, our cutouts are built to last. They can easily be stored and reused for countless occasions, ensuring long-lasting enjoyment. When not in use, cardboard cutouts can be conveniently stored flat to save space. This allows them to be reused for future occasions and events.
- Versatile and Portable Décor: Lightweight and easy to move, our cutouts effortlessly fit into any space, making them perfect as party decorations, promotional displays, point-of-sale marketing tools, event backdrops and photo booth props. They are also favored by fans for adding a touch of fandom to their living spaces. Their blend of artistry, convenience, and versatility makes them a beloved choice for fans, marketers, and event planners alike.
- Memorable Moments: Create memorable moments with family and friends as you pose with life-size representations of your beloved icons. Capture unforgettable photos for your social media posts and reels to share with friends, family, customers and followers.
- Made in America: Proudly manufactured in the USA. Family owned and operated since 1984.
Binding: Kitchen
model number: 2629
Part Number: 2629
Details: Basketball Player Stand-in
EAN: 0082033026295
Package Dimensions: 40.2 x 28.5 x 1.2 inches
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.4 ★★★★★
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Product Reviews
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025