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Description
【USA輸入】ヴィンテージ BERGERE コンビメタル イヤリング/Vintage BERGERE Combination Metal Clip On Earrings1970BERGERE BERGERE() 1947 BERGERENordstromLord & TaylorMarshall Fields1979 19702cm ()6g
1970年代頃のBERGEREのコンビメタルイヤリング。
ゴールドトーン、シルバートーン、パープルとグリーンゴールドが入り混じったような独特のメタルが連なる、シンプルで洗練されたデザイン。
ミニマルでありながら、メタルのトーンの違いがアクセントとなり目を惹くお品です。
日常使いにぴったりのデザインと快適な着け心地で、様々なシーンで活躍しそう。シルバーとゴールド、どちらのジュエリーともコーディネートしやすいのもポイントです。
一番内側のメタル表面にくすみ、シルバートーンメタルに僅かな打ち傷がございますが、その他良好なヴィンテージコンディションです。
※こちらはペーパータグを付けて販売されていた商品のため、刻印はございません。
【BERGERE(ベルジェール)とは】
1947 年ニューヨーク発のコスチュームジュエリーブランド。
BERGEREのジュエリーは、Nordstrom、Lord & Taylor、Marshall Fieldsなどの高級デパートにて展開。ブランドは1979年に閉業しました。
※当店で扱っている商品は、ヴィンテージのアイテムです。目立つ傷や汚れは記載しておりますが、状態の良いお品でも、経年に伴う小傷や汚れ等がある場合がございます。新品とは異なるヴィンテージ特有の風合いとして、ご理解頂けますようお願い申し上げます。
ヴィンテージ・コスチュームジュエリー
年代：1970年代頃
直径：約2cm
素材：メタル
重さ(片耳)：約6g
輸入元：アメリカ
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4.3 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021