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Description
ASA Selection haruko Übertopf Black Iron, Blumentopf, Pfanzentopf, Pflanzkübel, Blumenkübel, Steingut, Schwarz Matt, H 23 cm, 64056174Die Serie haruko vereint 3 verschiedene Materialien. Tpfe aus Keramik und geflochtenem Bambus lassen sich mit hochwertigen, stabilen Metallstndern in Schwarz oder Wei kombinieren. Fr jeden zylindrischen Topf gibt es den passenden Metallfu. So lassen sich unterschiedliche Hhen ob mit oder ohne Metallfu fr ein perfektes Arrangement realisieren. Die verschiedenen Materialien, Farben und Hhen harmonieren untereinander und lassen sich ganz nach dem Mix and
Die Serie haruko vereint 3 verschiedene Materialien.Töpfe aus Keramik und geflochtenem Bambus lassen sich mit hochwertigen, stabilen Metallständern in Schwarz oder Weiß kombinieren. Für jeden zylindrischen Topf gibt es den passenden Metallfuß. So lassen sich unterschiedliche Höhen - ob mit oder ohne Metallfuß - für ein perfektes Arrangement realisieren. Die verschiedenen Materialien, Farben und Höhen harmonieren untereinander und lassen sich ganz nach dem Mix-and-Match-Prinzip problemlos untereinander kombinieren. Die keramischen Übertöpfe sind so konzipiert, dass diese ebenfalls als Wasserauffangbehälter und Bepflanzung für die Bambus-Töpfe dienen können.
• lassen sich ideal mit den Metallständern kombinieren
• die Farben und Materialien der Serie harmonieren untereinander
Breite: 21.5 cm
Länge: 21.5 cm
Höhe: 23 cm
Durchmesser Ø: 21.5 cm
Material: Steingut
Farbe: Schwarz
Finish: Matt
Serie: haruko
Hersteller-Artikelnummer: 64056174
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4.6 ★★★★★
Based on 1672 reviews
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Product Reviews
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025