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Ships within 48 hours · Estimated delivery Jul 15 - Jul 20
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Description
Milwaukee LDM 45 Laserafstandsmeter 45m - 4933459277Milwaukee LDM 45 Laserafstandsmeter 45m 4933459277 Leveringsomvang 1 stuks LDM 45 Laserafstandsmeter 45m 2 stuks AAA accu's 1x Nylon hoes Bijzondere kenmerken Richt en meetsysteem n persoon meet met slechts een simpele druk op de knop IP54 water en stofbestendig Metrische & imperiale meeteenheden Gemakkelijk te bedienen meetknoppen aan de voor en zijkant van de behuizing Gebruiker kan afzonderlijke metingen & continue tracking uitvoeren Biedt
Milwaukee LDM 45 Laserafstandsmeter 45m - 4933459277
Leveringsomvang
- 1 stuks LDM 45 Laserafstandsmeter 45m
- 2 stuks AAA accu's
- 1x Nylon hoes
Bijzondere kenmerken
- Richt- en meetsysteem - één persoon meet met slechts een simpele druk op de knop
- IP54 water- en stofbestendig
- Metrische & imperiale meeteenheden
- Gemakkelijk te bedienen meetknoppen aan de voor- en zijkant van de behuizing
- Gebruiker kan afzonderlijke metingen & continue tracking uitvoeren
- Biedt verschillende meetfuncties waarmee gebruikers waarden kunnen optellen en aftrekken, lineaire afstand, werkoppervlakte, totale oppervlakte en volume kunnen berekenen
- Groot 3-lijnig 50 mm diameter veelkleurig LCD grafische display voor optimale zichtbaarheid
- Display toont laatste drie metingen en geschiedenismenu toont de laatste 30 berekeningen
- Uitklapbare pin voor het gemakkelijk meten vanuit hoeken
- Automatische uitschakeling en alarmsignaal bij lage accucapaciteit
- Slanke behuizing voor eenvoudige bediening en nylon hoesje voor veilig transport
Technische gegevens
- Afmetingen (mm): 105 x 48 x 24
- Automatische niveaumetingen: Nee
- Gewicht, incl. accu (kg): 0.11
- Hoogtemetingen: nee
- IP beschermklasse: 54
- Kit inbegrepen: 2 x AAA Accu's, Geen kitbox of tas meegeleverd
- Laserclassificatie: Klasse 2
- Maat display (mm): 31.5 x 40
- Max. meetbereik (m): 45
- Meetbereik (m): 0.15 - 45
- Nauwkeurigheid: ± 1,5
- Pythagoras functie: Nee
- Slimme horizontale / indirecte hoogtemetingen: nee
- Type accu: 2 x AAA
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.3 ★★★★★
Based on 1993 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