SKU: 93634342755

NSYCCOTHO

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Description

NSYCCOTHOMain Range ClimaSys Product name ClimaSys CC Product or component type Simple thermostat Temperature setting range 060 C Information displayed Temperature in C Complementary Input voltage 250 V Sensor type Bimetal Contacts type and composition NO Contact resistance 10 mOhm Service life in cycles 100000 cycles Maximum switching capacity 2 A 120 250 V AC inductive pf: 0. 6 10 A 250 V AC resistive 15 A 120 V AC resistive 30 W DC Electrical connection 4

Main
Range ClimaSys
Product name ClimaSys CC
Product or component type Simple thermostat
Temperature setting range 0…60 °C
Information displayed Temperature in °C
Complementary
Input voltage 250 V
Sensor type Bimetal
Contacts type and composition NO
Contact resistance 10 mOhm
Service life in cycles 100000 cycles
Maximum switching capacity 2 A 120...250 V AC inductive pf: 0.6
10 A 250 V AC resistive
15 A 120 V AC resistive
30 W DC
Electrical connection 4 terminals, clamping capacity: 2.5 mm²
Mounting mode Clipped
Height 68 mm external:
Width 33 mm external:
Depth 44 mm external:
Net weight 40 g
Mounting location 35 mm DIN rail
On mounting plate
Cross rails
Spacial upright
Ambient air temperature for operation -20…80 °C
IP degree of protection IP20
Hysteresis 7 %
Number of outputs 1 ventilation function
Material PC
Colour Light grey
Flame retardance Self-extinguishing conforming to UL94 (material V0)
Product certifications UL
Offer Sustainability
REACh Regulation
REACh Declaration
EU RoHS Directive Compliant
EU RoHS Declaration
Mercury free Yes
RoHS exemption information
Yes
China RoHS Regulation
China RoHS declaration
Contractual warranty
Warranty 18 months
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SKU: 93634342755

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4.6 ★★★★★
Based on 24 reviews
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Verified Purchase
B. Black
Cuba, 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Already outdated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
Carnegie, 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
Massapequa, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025
L
Lydia O
Alexandria, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2025
J
Jacob Lee
San Leandro, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2025

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