SKU: 46946979250

間仕切りカーテン・のれん (86cm×180cm) オリーブツリー

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Description

間仕切りカーテン・のれん (86cm×180cm) オリーブツリー86150 86180 cm 18086 100%




さまざまな空間に、コーディネートが楽しめる間仕切りカーテンです

市販のつっぱり棒を通すだけで簡単に設置できる間仕切りカーテン。
綿オックスは適度に厚みがあるため、目隠しや間仕切りに最適です。

お部屋の入り口の間仕切りの他、ドアがないお部屋の冷気・暖気遮断や玄関などの目隠し、空気の入れ替え時など、いろいろな用途として活躍します。
ロング丈のため、様々なインテリアスタイルに合わせやすいアイテムです。お好みの柄でおしゃれでモダンな空間を演出してください。

素材の綿オックス生地は、繰り返しのお洗濯にも耐久性が高く色褪せしづらいので、長持ちします。サッと洗えていつでも清潔に保てます。

※柄の位置は商品によって異なります。
※つっぱり棒は付属しておりません。


サイズ(単位:cm)
タテ:約180/ヨコ:約86

※商品によってサイズに多少の誤差がございます。予めご了承ください。

素材:綿100%

つややかなオリーブの小枝を描いたナチュラルなテイスト。降り注ぐ太陽をあびて育ったみずみずしいオリーブ・ツリーは、ピースフルな地中海の光と風をお部屋に運んでくれます。

●洗濯について
洗濯により若干の色落ち、濡れた状態での接触により色移りすることがございます。洗濯の際は、他のものとまとめて洗うのはお避け下さい。

●柄の出方について
柄の出方は、生地の裁断により、一点一点異なります。あらかじめご了承ください。

●商品仕様について
商品は写真と異なる場合や同等品へ仕様変更する場合がございます。予めご了承ください。
また、お揃い生地商品が完売の際はご了承ください。

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SKU: 46946979250

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4.6 ★★★★★
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K
Kirk D. Borne
Birmingham, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025
A
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Amazon Customer
Alexandria, US
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026
A
Verified Purchase
Amazon Customer
Louisville, US
★★★★★ 5
would highly recommend
Format: Paperback
well written even a newbie can follow
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Reviewed in the United States on May 18, 2025
M
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mauricio z
Carnegie, US
★★★★★ 5
great book
Format: Paperback
perfect for beginners
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Reviewed in the United States on March 22, 2024
S
Verified Purchase
Samuel
Carnegie, US
★★★★★ 2
Don't buy, check HIS github or google collab for EVERYTHING that's in this book. NO SOLUTION
Format: Paperback
I never write reviews, but after this book I need to. DON'T BUY IT. DO NOT BUY THIS BOOK. Feels like a money grab. You are literally paying money for NOTHING buying this book. Long story short: GO TO HIS GITHUB AND GET IT ALL FOR FREE BECAUSE HE DOES NOT PROVIDE SOLUTIONS. GO ON GITHUB OR GOOGLE COLLAB AND CALL IT A DAY. In the intro he makes it seem like you don't need to know much programming or any tbh. He says if you have never programmed you should be able to read this book. HELL NO, I mean yeah you could probably figure it out, but I would not let someone that doesn't know any programming to start with this. I'd probably tell you to learn the basics of python for a week before starting at the very least. He also makes it seem like you don't need much knowledge of physics. Meh, maybe. Anyway the main reason not to buy: IT'S ALL AVAILABLE FOR FREE ON GITHUB THAT HE PUBLISHES FOR FREEEEEE. You can also use google collab, which he has up for FREEE. and if you are are a beginner I'd recommend you go off teh google collab, that way you don't have to deal with downloading anaconda and setting up an enviroment in jupyter which I think can be intimidating for a beginner. And this book doesn't really give much help in setting up everything in jupyter notebook. Also another point. He'll lead you through an example each lesson, but for the exercises he has you working on he doesn't provide a solution ANYWHERE. like why tf would you buy this book? How do you expect to learn with no feedback? You need to search online for ways to solve these problems, which I think is not a bad skill to have, but if you are new to a subject or trying to learn and you pay for a book why can't i at the very least get some solutions. even math textbook give you solutions, because the understanding is that you can make your own attempt and CHECK TO SEE IF YOU ARE RIGHT. DUHH !
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Reviewed in the United States on February 8, 2026

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