SKU: 66613868532

RECHARGER / REFILLING POT POURRI “TERRE NOIRE” / 30ml

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Description

RECHARGER / REFILLING POT POURRI “TERRE NOIRE” / 30ml"" TERRE NOIRE "" NOTES RECHARGERRECHARGE OIL) CMR 21 MAD ET LEN MAD ET LEN MAD ET LEN Madeleinemad. len"" Scent = Oil CMR Object Pot Pourri NOTICE SHOPPING GUIDE BRAND MAD ET LEN COLLECTION RECHARGER 30ml MADE IN France MATERIAL SIZE (approx) mm 30 H 105 SHIPPING SIZE A WRAPPING Gift Wrapping

リチャージオイル | ポプリ オイル レフィル "テレノワール"

TERRE NOIRE(テレノワール) 
"夜の闇に舞う火の粉は、まるでホタルのように揺らめき、湿った大地の霧の中を漂う。夜の影よりもさらに深く、静かに漂うテール・ノワールの魂"

NOTES:原初の湿った大地、樹皮に富んだ腐葉土、化石化した古代の松、希少な熟成オークウッド

原始的な湿った大地、樹皮のような豊かな腐葉土、化石化した松の古木、希少な古いオークの木。
黒く湿った大地を抱く静かで力強いスパイシーさと、ほんのり甘さが同居する香りです。


RECHARGER(RECHARGE OIL)
ポプリに使用するオイルのレフィルです。付属のオイルがなくなった際にご利用いただければ、繰り返しポプリをお楽しみいただけます。

伝統的なアポせカリーの生産にこだわりました。
私たちは天然成分のみを使用しています。シンプルであることにこだわり、ごく僅かな原材料を使用してレシピを作り上げます。パラフィンやその他の石油ベースの成分、CMR分子は使用しません。移りゆく季節の素材と対話し、自然のサイクルを尊重することで、芸術的な香りを調香します。

ポプリに数滴たらしてください。
2週間から1ヶ月程度で香りが弱くなりますので、お好みに合わせ繰り返しお使いください。




使用上の注意

  • 火の近くでのご使用はご注意ください。
  • 直射日光や乾燥は避けてご使用ください。
  • 香りは素材の個性を尊重しながら生産しているため、若干の個体差を感じることがございます。


MAD ET LEN(マドエレン)
MAD ET LEN は、ゆったりとした時間がながれる南仏の小さな村「サン・ジュリアン・デュ・ヴェルドン」のアトリエで生まれました。
ブランド名の MAD ET LEN は、フランス焼き菓子の「マドレーヌ」に由来しています。マルセル・プルースト著『失われた時を求めて」という物語に、紅茶に浸したマドレーヌ(Madeleine:文中はmad.lenと記載)を食べたことで過去の記憶がよみがえるというエピソードがあります。味覚や臭覚からその時の記憶や感情を思い出すことをプルースト効果と呼ぶようになった有名なシーンであり、"思い出" は 私たちの調香の礎になっています

Scent = Oil (調香)
私たちは天然成分のみを使用しています。シンプルであることにこだわり、ごく僅かな原材料を使用してレシピを作り上げます。南仏のアトリエを囲む大自然はインスピレーションの源です。この時にしか出会うことのできない限られた素材たちは、洗練されたアイデアを私たちに与えてくれます。自然のリズムと調和する季節の素材と対話し、シンプルさにこだわり、伝統的なアポせカリーの手法で繊細に調香します。パラフィンやその他の石油ベースの成分、CMR分子を拒否します。そして物語のように紡いだ香りは、奥行きのある世界を表現します。移りゆく季節の素材と対話し、自然のサイクルを尊重することで、芸術的な香りを調香します。

Object(器・オブジェ)
器やオブジェは、テクノロジーに頼ることなく、職人が受け継いできた技術を駆使して、すべて圧延鋼から作り上げることを大切にして職人によりひとつひとつ手作業で生み出されます。大量生産はせずひとつひとつ手作りで作られ、表面の細かな傷のある質感は生々しく、独特な凹凸、曲線の歪みには生産時の想いが刻まれています。重厚な無骨さと繊細さが交差するアーティスティックな佇まいです。経年で変化していく表情に、不完全で退廃的な美しさを感じさせます。どれも不揃いで同じ物はひとつもありません。荒々しいのにどこか洗練されている、匠の技が息づく芸術品です。

Pot Pourri (素材)
アンバー(琥珀樹脂)、ラヴァ(溶岩石)、色とりどりのファインストーン(鉱石)を器に敷き詰めました。
色・形・大きさなど、それぞれのユニークな表情が視覚を魅了します。大地の躍動感を身近に感じながら、自然のエッセンスを滴らしお楽しみください。

NOTICE
画像はあくまでも参考イメージとお考えください。オンラインにてご購入の際は当方にてご選択させていただきますので、お客さまのご希望をうかがうことは出来かねます。またご希望やイメージと違う作品が届いた場合も、ご返却はお受けしておりませんので予めご了承ください。ご購入をご検討の際は、必ず「SHOPPING GUIDE(ご利用ガイド)」をご参照ください。

BRAND MAD ET LEN(マドエレン)
COLLECTION RECHARGER / 30ml
MADE IN France
MATERIAL
SIZE (approx) mm Φ 30
H 105
SHIPPING SIZE A(配送方法・送料について
WRAPPING Gift Wrapping 希望(有料)

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SKU: 66613868532

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4.3 ★★★★★
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Jade
Lake Worth, US
★★★★★ 5
Useful in class and for personal use
Format: Paperback
We are learning python in my class and this book is so helpful to practice outside of class. I had started using it before class started because I didn’t know we would be learning python I just bought it because python is a popular programming language and I should learn it and it’s very simple to follow. The digital assets help u download the necessary tools used in the book. I do find the code to be a little confusing because I’m used to SQL and R. Python is a little different but the book makes it easy to learn and has you implementing what you learned into a project so it’s very useful. Get this book!
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Reviewed in the United States on February 9, 2025
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Verified Purchase
Sterling R.
Lowell, US
★★★★★ 4
Must read
Format: Paperback
Wonderful book and great walkthrough, I have been using it off and on but when I do. I know I can notice a difference for my hobbies.
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Reviewed in the United States on October 29, 2025
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Connor
Dallas, US
★★★★★ 5
Great Purchase
Format: Paperback
Content is excellent. Very pleased with the purchase.
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Reviewed in the United States on March 1, 2026
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Verified Purchase
Received as seen on the app. Thanks
Battle Creek, US
★★★★★ 5
Product received
Format: Paperback, Format: Paperback
Product received in good condition. I like the book
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Reviewed in the United States on February 19, 2026
D
Dulcimoo
Chelsea, US
★★★★★ 3
I think this book will give many beginners a good quick start into Python programming
A review of "Python: QuickStart Guide by Robert Oliver" Published by ClydeBank Media Copyright (c) 2023 ISBN-13: 978-1-63610-038-8 First Edition: Last Updated: April 24, 2023 In summary - I feel this book has missed some opportunities, is trying to be “cute" and is somewhat lacking in detail in some of the beginning explanations. However … this book starts at the bottom and builds you up. When you are done … while not quite a Python Expert you will be well on the way. It really is a good overview of Python and covers a lot of ground; while it does leave out some things I would have liked to see, [cough cough turtle graphics — turtles make a great introduction to objects … even if they may have taken a detour to the application you end up with at the end] you can’t put every everything including the kitchen sink in a book like this. Most of the things I would have liked to see differently are just nit-picky: they have these little icons (Note, quckclip, detour, etc.) … things like that should be DEFINED before they show up — the introduction is the perfect place to do that; that that isn’t done bugs me. That he brings up “X” as in Algebra isn’t really needed, programming variables are known quantities for the most part, and are more like the names for things, or the name of a box that contains something … the “variables” in Python has little to do with the variables in Algebra which are unknowns you are trying to solve for. As example of missing “essential” detail: In the discussion of data types such as integers, and floating point numbers, and strings but don’t discuss magnitude and precision for the numerical datatypes. Not everyone needs to know that in integers basically have as much precision as you have allowed it memory to run. This isn’t “normal” in most other languages and is a nifty feature of Python. I have used it to compute really large numbers such as the 1 millionth Fibonacci number, or the 33rd perfect number (it has over half a million digits, and is very simple in Python[see the short code at the end of this review for another example]). It doesn’t discuss comparison operators for objects you create (I feel that is an important topic, but may be more advanced that this introductory book is designed for - and actually isn't NEEDED but would have been a nice thing to mention). On the other hand the discussion of Python data structures really was very clear. While it does discuss and use objects, the discussion really isn’t in-depth. But that is OK as this is a quick start guide, not an in-depth reference book. You could (and will later if you go on) find enough to fill a book half this size talking about the details of Python Object Oriented programming ([P]OOP). This one may not be a nit if they are older: The format is somewhat difficult to read when it comes to the code examples. Code examples are highlighted in gray, this lowers the contrast and unless well lighted makes it harder to read, so make sure you read it in a well lit room or use a book light. Bolding the highlighted text would probably solve this issue. The binding is great (it is spiral bound) and even being somewhat thick, every page lies flat — this makes it easy to use for when you are copying the code examples to your computer. The code can be downloaded, but I would recommend that you type everything in. Errors made by having your typed code not be what you intended to type in are a common source of errors and learning how to find and correct those sorts of errors now will save you a lot of problems. The book isn’t just introductory material, but gets into some fairly advanced topics such as databases, test driven development, and using GIT. The book does do a good job about more “advanced” topics. It talks about some features of Python while just a few years old may not have been know to some older Python Developers (like dataclass, or Lamda expressions). It provides you an introduction to developing websites, and interacting with the web, multiprocessing, optimization, and error handling to name a few. I really think topics that may stump some people the author has explained clearly and concisely the make the topics easy to grasp. One thing that surprised me is that it didn’t talk about the philosophy of Python in the introduction… No braces {} or semicolons, but you do need the occasional colon Whitespace, indentation, and blank lines MATTER in Python. That needs to be hammered in (really). One simple way of doing things (not a lot of different ways to do the same thing). And the name Python comes from the Monty Flying Circus kind and not the Reptile kind (even though a lot of Python “stuff” has the snake kind on it). It doesn’t talk about Python 2. Python 2 and 3 are different Code bases, They eventually stopped “improving” Python 2 and Python 3 is the one true version of Python, it should at least have a mention. The phylosophy is important because in Python white space in really important, and that is part of the philosophy of Python that should be covered. This is probably one of the things that messes people up most in the beginning (and that case matters — cow and COW are not the same, as they are in a lot of cases in Windows machines). Here is an example of case mattering: (not from the book). >>> cow=3 >>> cow==COW Traceback (most recent call last): File "", line 1, in NameError: name 'COW' is not defined. Did you mean: 'cow'? Here are some things to try once you get your Python installed that show a bit of Python Humor…(also not from the book)… >>> import this The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those! >>> Or try import antigravity Python is a fun programming language to learn and it probably the best language for a beginner. Python is a fairly easy to learn programming language, and Mr. Oliver’s brief look back at BASIC is fitting. I do think that Python, in may ways, really is the new BASIC. In conclusion: This book does provide you a step by step learning path, if followed will get you a lot more knowledgeable about Python, while fairly wide it isn’t always as deep as I would like. The Python QuickStart Guide(r) is like one of those tour packages, it covers all the things you need to see but sometimes you wish you could linger a bit more on a topic. The Coffee Shop game that you work in throughout most of the book is interesting and leads to some good topics and gets you in to some really good practices so you start out right. The author has provided a video the help you get going which will help you over the rough beginning spots. If you take the time, and follow the book step by step, I think you will be pleased with your progress, and will be able to do some fun stuff quickly. Just remember to do a little bit every day, because learning to program is like learning any language — practice makes perfect. PS: You might want to try this to see just how easy it is in Python to work with large integers: f=1 for x in range (1, 101): f=f * x print (f" {x:>3d}! = {f:>210,d}") print If you had the book, you would know what to do with that! Also - It may not show up but the following lines need to be indented two spaces in the above example f=f * x print (f" {x:>3d}! = {f:>210,d}") print
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Reviewed in the United States on May 26, 2023

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