SKU: 8783358952

Williams 2503EFRMH 1/2" DR. STEEL GRIP ELECTRONIC TORQUE WRENCH WITH ANGLE MEASUREMENT, 12.5-250 FT-LB (150-3000 IN-LB)

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Description

Williams 2503EFRMH 1/2" DR. STEEL GRIP ELECTRONIC TORQUE WRENCH WITH ANGLE MEASUREMENT, 12.5-250 FT-LB (150-3000 IN-LB)Sealed head keeps contamination out and lubrication in for better performance and longer tool life. Handles are durable, lightly knurled for a tough, non slip grip. Dual Progressive LEDs allows user to view active torque readings and to anticipate torque target for more accurate torque. Automatically compensates for flex related torque variances. Easy to ready large LCD screen, LED indicator lights, audible beep and handle vibrations work together to

Sealed head keeps contamination out and lubrication in for better performance and longer tool life. Handles are durable, lightly knurled for a tough, non-slip grip. Dual Progressive LEDs allows user to view active torque readings and to anticipate torque target for more accurate torque. Automatically compensates for flex related torque variances. Easy to ready large LCD screen, LED indicator lights, audible beep and handle vibrations work together to signal when torque is within the targeted range. Rugged all steel body is design to stand up to industrial use and each wrench is backed by a 1 year warranty. Torque measured in seven modes ft-lb, in-lb, Nm, dNm, kg-cm, angle and torque then angle. Fully programmable with 10 memory presets. Angle Accuracy: (+/- 1% of reading) + (+/- 1 DEG @ Angle Velocity >10 DEG/SEC < 180 DEG/SEC) + (+/- 1 DEG for test fixture). Torque accuracy: +/- 2% CW, +/- 3% CCW indicated value, 20% to 100 % of full scale. Torque accuracy: +/-4% CW, +/-6 CCW indicated value, 10% to 19% of full scale. Torque accuracy: +/- 8% CW, +/- 10% CCW indicated value, 5% to 9% of full scale. Includes: Blow Molded Storage Case.

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SKU: 8783358952

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David Escobar
Los Angeles, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
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Filipe Fernandes
Natrona Heights, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
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Eddwin Paz
West Palm Beach, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Belleville, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Boise, US
★★★★★ 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.
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Reviewed in the United States on July 17, 2025

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