SKU: 31632713635

DOCO Reflective Traffic Rope Leash - Click & Lock Snap - 20 inch (Large)-DCROPE5020[Color - Pink]

Sale price$36.90 Regular price$41.00
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Description

DOCO Reflective Traffic Rope Leash - Click & Lock Snap - 20 inch (Large)-DCROPE5020[Color - Pink]DOCO 20" SHORT Reflective Traffic Rope Leash w Super Soft Rubber Handle is equipped with soft rubber grips that provide comfort while you hold on. This leash features our exclusive rope clip, known for its exceptional design. The reflective stitching along the entire length of the rope enhances visibility, ensuring extra safety in low light conditions. The soft rubber handle ensures a pleasant grip when you're out walking your dog. This sturdy and

DOCO® 20" SHORT Reflective Traffic Rope Leash w/ Super Soft Rubber Handle is equipped with soft rubber grips that provide comfort while you hold on. This leash features our exclusive rope clip, known for its exceptional design. The reflective stitching along the entire length of the rope enhances visibility, ensuring extra safety in low-light conditions. The soft rubber handle ensures a pleasant grip when you're out walking your dog. This sturdy and easy-to-hold leash is particularly ideal for large or extra-large dogs, serving effectively as a shorter traffic or control lead. * Pair it with DOCO® Nylon Collars: DCSN002, DCS006 * Pair it with DOCO® Nylon Harness: DCSN202 Special Features - Crafted with a shorter length for improved control of your dog - Exceptionally comfortable rubber handle for a pleasant grip - Heavy-duty polyester rope webbing - Multi-layer braided construction for increased tensile strength - Reflective threads for enhanced safety and visibility during nighttime - Easy to attach and detach with a 360-degree swivel snap hook - Durable plastic rope clip ensures quality and easy handling - Bright colors for visibility at all times Size Chart 1/2 x 20" (13mm x 50cm)
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SKU: 31632713635

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4.3 ★★★★★
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J
Verified Purchase
Johann
Port Orchard, US
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Lowell, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Grantham, US
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
Battle Creek, US
★★★★★ 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
Y
Verified Purchase
Y. Banga
Alexandria, US
★★★★★ 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

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