- 81340 1/2" Drive Extension 3"
- 81341 1/2" Drive Extension 5"
- 81342 1/2" Drive Extension 10"
- 81343 1/2" Drive Extension 15"
- 80600D 1/2" Drive Universal Joint
- 81354 1/2" Drive 1/2" F x 3/8" M Adapter
- 81348 1/2" Drive Locking Extension 3"
- 81349 1/2" Drive Locking Extension 5"
- 81350 1/2" Drive Locking Extension 10"
- 81345 1/2" Drive Wobble Extension 5"
- 81346 1/2" Drive Wobble Extension 10"
- 81347 1/2" Drive Wobble Extension 15"
- 81307 1/2" Drive Flex Handle/Breaker Bar 15"
- 81306T 1/2" Drive 90-Tooth Flex Head Teardrop Ratchet 17"
- 81304T 1/2" Drive 90-Tooth Teardrop Ratchet 11"
- 81311 1/2" Drive Sliding T-Handle 12"
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Description
GEARWRENCH 16 Pc. 1/2" 90-Tooth Ratchet & Drive Tool Set with EVA Foam Tray 86522 Ratchet SetGEARWRENCH 16 Pc. 1 2" 90 Tooth Ratchet & Drive Tool Set with EVA Foam Tray 86522 FEATURES Ultimate assortment of 1 2" drive tools including ratchets, adapters, universal joint and extension bars 90 tooth gear delivers a 4 degree swing arc to turn a fastener in tight confines Bright, full polish chrome finish easily wipes clean and resists corrosion Extension bars with a knurled grip provides a nonslip surface Flex handle breaker bar to provide
GEARWRENCH 16 Pc. 1/2" 90-Tooth Ratchet & Drive Tool Set with EVA Foam Tray 86522
FEATURES
- Ultimate assortment of 1/2" drive tools including ratchets, adapters, universal joint and extension bars
- 90-tooth gear delivers a 4 degree swing arc to turn a fastener in tight confines
- Bright, full polish chrome finish easily wipes clean and resists corrosion
- Extension bars with a knurled grip provides a nonslip surface
- Flex handle breaker bar to provide additional leverage to break free stubborn fasteners
- Locking extension bars with locking mechanism with sliding collar securely attaches socket to extension
- Includes premium precut EVA foam tray with size markings for all tools for peak organization
- EVA Foam tray size: 21.5 x 13.46 x 2.0
CONTAINS
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4.4 ★★★★★
Based on 16 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
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