SKU: 48100970025

Arctic Monkeys - The Car

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Description

Arctic Monkeys - The CarArctic Monkeys The Car (2022) is a cinematic, moody masterpiece that sees the band further refining the sophisticated, orchestral sound they introduced on Tranquility Base Hotel & Casino. Their seventh studio album, written entirely by Alex Turner and produced by longtime collaborator James Ford, trades in the stadium rock swagger of their earlier work for something more introspective and noir inspired. From the sultry strings of Thered Better Be a

Arctic Monkeys’ The Car (2022) is a cinematic, moody masterpiece that sees the band further refining the sophisticated, orchestral sound they introduced on Tranquility Base Hotel & Casino.

Their seventh studio album, written entirely by Alex Turner and produced by longtime collaborator James Ford, trades in the stadium-rock swagger of their earlier work for something more introspective and noir-inspired.

From the sultry strings of “There’d Better Be a Mirrorball” to the slick funk grooves of “I Ain’t Quite Where I Think I Am,” the album is filled with lush arrangements and haunting melodies. “Body Paint” builds to a dramatic crescendo, while “Hello You” adds a hypnotic, lounge-like atmosphere. Turner’s lyrics are as poetic as ever, weaving themes of nostalgia, heartbreak, and existential longing into every track.

Recorded across three stunning locations—Butley Priory in Suffolk, La Frette in Paris, and RAK Studios in London—The Car is an album of elegance, depth, and surprising turns. It’s Arctic Monkeys at their most refined, yet still full of mystery.

Tracklist:

  1. There’d Better Be a Mirrorball
  2. I Ain’t Quite Where I Think I Am
  3. Sculptures of Anything Goes
  4. Jet Skis on the Moat
  5. Body Paint
  6. The Car
  7. Big Ideas
  8. Hello You
  9. Mr Schwartz
  10. Perfect Sense

Sophisticated, immersive, and endlessly replayable—The Car is a stunning evolution from one of the UK’s most celebrated bands. Buckle up and enjoy the ride.

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SKU: 48100970025

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4.8 ★★★★★
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Zay
Bozeman, US
★★★★★ 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
R
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Rory Derrick
Fort Morgan, US
★★★★★ 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
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Cory P.
Draper, US
★★★★★ 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
F
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Frank Gonzalez
Dallas, US
★★★★★ 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
I
Ira Laefsky
Carnegie, US
★★★★★ 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

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