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BLITZ FLD METER BOOST (W/O SENSOR) For DAIHATSU YRV M201G K3-VET 15200Brand BLITZ Product Name FLD METER BOOST (W O SENSOR) Product Number 15200 Compatible Car DAIHATSU YRV M201G Compatible Engine K3 VET Product Description Model Year: 00 08 05 08 Chassis Model: M201G connector position: 5 adapted models: 1 communication type: D Rotation: ___ speed: ___ throttle: ___ temperature: ___ ATF oil temperature: E G oil temperature: intake manifold boost: ___ the Description: the fault diagnosis connector (OBD II) simply
| Brand | BLITZ |
| Product Name | FLD METER BOOST (W/O SENSOR) |
| Product Number | 15200 |
| Compatible Car | DAIHATSU YRV M201G |
| Compatible Engine | K3-VET |
| Product Description | Model Year: 00 / 08-05 / 08 Chassis Model: M201G connector position: 5 adapted models: 1 communication type: D Rotation: ___ speed: ___ throttle: ___ temperature: ___ ATF oil temperature: - E / G oil temperature: - intake manifold boost: ___ the Description: the fault diagnosis connector (OBD II) simply connect, boost pressure, engine speed, the other, the vehicle speed, coolant temperature, etc. 3 items displayed simultaneously possible throttle opening, completely new analog and digital meters. BLUE LED in conjunction with the guidelines to emit light in a circle shape, equipped with a "LED LOOP GRAPH". In RED LED, it can be a warning zone settings and warning display. body size combines the visibility and design, adopted a new development Ï_74 size. Dedicated holder, the function switch is also included. In LIVE UNIT adoption, scalability excellent such as the output to a separate sensor of the external input and SD meters. Switching and of imperial and metric, illumination dimming function (on line) also features. Lexus / Toyota a dedicated model equipped with a communication of hybrid vehicles for the. You can display only items related to the battery and motor. prepare the models with the Suzuki CAN communication. Suzuki vehicles since 2008 corresponds to the vehicle with a focus on. part in the Lexus / Toyota / Subaru-based models of, providing a possible model display engine oil temperature. Sensor is unnecessary, engine oil temperature can be displayed. OBDII connector not installed and, already prepared the ignition power connection type for models that use the OBD connector. Up to three of the sensor information can be displayed in one of the meter sensor additional. sold separately by a combination of harness, also supports the connector of the old Nissan car type. Product Name: FLD METER BOOST (W / O SENSOR) |
| Notes | Images are for illustration purpose only. Actual product may vary. |
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4.3 ★★★★★
Based on 5 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025
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