SKU: 99389376868

Metabo Ladegerät ASC 145 AIR COOLED 12-36V ( 627378000 )

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Description

Metabo Ladegerät ASC 145 AIR COOLED 12-36V ( 627378000 )Lieferumfang: 1x Metabo ASC 145 Ladegert ( 627378000 ) Produktbeschreibung: Das Ladegert ist zum Aufladen aller Li Ion und LiHD Schiebesitz Akkupacks (12V 36V) mit angepasstem Akku Ladestrom von Metabo geeignet. Die patentierte AIR COOLED Akkukhlung sorgt beim Laden fr deutlich reduzierte Ladezeiten. Das ASC 145 besticht durch eine sehr geringe Stand by Aufnahmeleistung. Ein intelligentes prozessorgesteuertes Lademanagement sichert das schonende Laden

Lieferumfang:

- 1x Metabo ASC 145 Ladegerät ( 627378000 )

Produktbeschreibung:

Das Ladegerät ist zum Aufladen aller Li-Ion und LiHD Schiebesitz-Akkupacks (12V-36V) mit angepasstem Akku-Ladestrom von Metabo geeignet. Die patentierte AIR COOLED Akkukühlung sorgt beim Laden für deutlich reduzierte Ladezeiten. Das ASC 145 besticht durch eine sehr geringe Stand-by Aufnahmeleistung. Ein intelligentes prozessorgesteuertes Lademanagement sichert das schonende Laden und maximale Anzahl der Ladezyklen. Der besondere Vorteil dieses Ladegeräts ist seine Eignung zum Aufladen aller Akkupacks der CAS (Cordless Alliance System) Partner: Rothenberger, Edding, Fischer, Mafell, Collomix, Eibenstock, Eisenblättert, Haaga, Starmix, Steine, Rokamat, Birchmeier. Ein Ladegerät für alles. 

Technische Daten:

Netzspannung: 230-240 V
Netzfrequenz: 50-60 Hz
Max. Ladestrom: 8 A
Herstellernummer: 627378000


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SKU: 99389376868

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B. Black
Massapequa, 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Already outdated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
Belleville, 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
Pawtucket, 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.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
Carnegie, 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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