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Description
【新品】ドールズフロントライン PKP NordiQ 手帳型スマホケース(対象機種/Mサイズ) / アルマビアンカ 発売日:2021年01月頃202101 FAQ NordiQ PKP iPhoneAndroid NordiQ() AMNIBUS : M ():69mm142mm iPhone6s 7 8 SE() 2 L ():80mm162mm iPhone6s Plus 7 Plus 8 Plus X XS XS MaX XR 11 11 Pro 11 Pro MaX 3 (C)SUNBORN Network Technology Co., Ltd. (C)SUNBORN Japan Co., Ltd.
【発売日】2021年01月予定【発送時期】入荷次第発送
※複数の御注文は、発売日が一番遅い商品に合わせて発送となります。
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また人気商品の場合、出荷制限・配分等で御注文商品が用意できない場合がございます。※※ご注文前にFAQを必ず御確認下さい※※
【ジャンル】ドールズフロントライン
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『ドールズフロントライン』より、NordiQ 手帳型スマホケースの登場です。
PKPを北欧風テイストで描き起こしました。
樹木や山岳などのモチーフと合わせた総柄デザインに仕上げています。
スマートフォンが上下に移動するスライド式で、iPhoneやAndroid端末などにお使いいただけます。
お手元で作品の世界観をお楽しみください。
※「NordiQ(ノルディッキュ) シリーズ」はシンプル・ナチュラル・調和を活かした北欧風テイストをデザインに取り入れ、キャラク ターをもっと生活の身近に感じられるAMNIBUSのオリジナル商品です。
素材:合皮
「Mサイズ」
本体サイズ(閉じた状態):幅69mm×高さ142mm
iPhone6s/7/8/SE(第二世代)相当の大きさになります。
その他本体サイズ以内に収まるスマートフォンの機種に対応しています。
カードポケットの数は2個になります。
「Lサイズ」
本体サイズ(閉じた状態):幅80mm×高さ162mm
iPhone6s Plus/7 Plus/8 Plus/X/XS/XS MaX/XR/11/11 Pro/11 Pro MaX相当の大きさになります。
その他本体サイズ以内に収まるスマートフォンの機種に対応しています。
カードポケットの数は3個になります。
(C)SUNBORN Network Technology Co., Ltd. (C)SUNBORN Japan Co., Ltd.
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4.7 ★★★★★
Based on 26 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
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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