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Description
【新品】東方アレンジ 神楽めあ×幽閉サテライト×少女フラクタルコラボVol.1 / 幽閉カタルシス 発売日:2024年08月14日20240814 FAQ 13 1. () Iceon ZUN 2. () Iceon sroa neiro ZUN 3. (Bad Apple!!) se kon ZUN 4. instrument () Iceon ZUN 5. instrument () Iceon neiro ZUN 6. instrument (Bad Apple!!) se kon ZUN
【発行日】2024年08月14日【発送時期】入荷次第発送
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【トラックリスト】
1.時計仕掛けの命に抱かれ
(原曲：亡き王女の為のセプテット)
作詞：かませ虎
編曲：Iceon
歌：神楽めあ
ギター：紅葉八朔
作曲：ZUN
プロデュース：嵯峨飛鳥
2.アマリリスの虚栄心
(原曲：メイドと血の懐中時計)
作詞：かませ虎
編曲：Iceon
歌：幽閉サテライト sroa
ギター：neiro
作曲：ZUN
プロデュース：嵯峨飛鳥
3.ロクでなしトリッぷ
(原曲：Bad Apple!!)
作詞：少女フラクタル
編曲：se-kon
歌：少女フラクタル 二羽凛奈
作曲：ZUN
プロデュース：嵯峨飛鳥
4.時計仕掛けの命に抱かれ instrument
(原曲：亡き王女の為のセプテット)
編曲：Iceon
ギター：紅葉八朔
作曲：ZUN
プロデュース：嵯峨飛鳥
5.アマリリスの虚栄心 instrument
(原曲：メイドと血の懐中時計)
編曲：Iceon
ギター：neiro
作曲：ZUN
プロデュース：嵯峨飛鳥
6.ロクでなしトリッぷ instrument
(原曲：Bad Apple!!)
編曲：se-kon
作曲：ZUN
プロデュース：嵯峨飛鳥
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4.4 ★★★★★
Based on 25 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