SKU: 98968550193

IR-HAQNE (400-3000℃)

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Description

IR-HAQNE (400-3000℃)IR HA Series Portable Infrared Thermometer IR HA series is compact and light weight handy type infrared radiation thermometer. In addition to medium temperature type (300 to 1000C) and high temperature type (600 to 2000C), 2 color type (600 to 2000C) and single color type (400 to 3000C) switchable high function type is available. Although it uses fixed focus, measuring distance is 4m, measuring diameter is small 20mm, and with direct viewing finder it

IR-HA Series Portable Infrared Thermometer

IR-HA series is compact and light weight handy type infrared radiation thermometer. In addition to medium temperature type (300 to 1000°C) and high temperature type (600 to 2000°C), 2-color type (600 to 2000°C) and single color type (400 to 3000°C) switchable high function type is available. Although it uses fixed focus, measuring distance is 4m, measuring diameter is small φ20mm, and with direct viewing finder it is capable of measuring target point quickly.

  • In addition to a display on the back of the main unit, measurement value is also displayed in a viewfinder, so measuring value can be seen while checking the target.
  • Influence of emissivity is small since measurement wavelengths are short 0.9μm and 1.55μm.
  • It has K thermocouple input, so emissivity compensation according to K thermocouple indication is available.

Model

Type and Distance Factor

IR-HAQNE

High function type

  • Single color: 400 to 3000°C
  •  2 color: 600 to 2000°C
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SKU: 98968550193

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B. Black
Alexandria, US
★★★★★ 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Already outdated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
J
Joe Faith
Charlottesville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
Alexandria, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025
L
Lydia O
Louisville, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
Draper, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025

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