SKU: 90352698676

Aswad: Live At Rockpalast - Cologne 1980 - COMPACT DISCS

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Aswad: Live At Rockpalast - Cologne 1980 - COMPACT DISCSTitle: Live At Rockpalast Cologne 1980 Artist: Aswad Label: Made in Germany Musi Product Type: COMPACT DISCS UPC: 885513907127 Genre: Reggae Release Date: 2017 01 13 Number of Discs: 2 Additional Details: WITH DVD When Aswad played the Rockpalast recording at the Studio B of the Westdeutscher Rundfunk nobody expected them to become pop stars in the future, yet. In 1980 they still were part of the London "Punky Reggae Party". The Rockpalast concert

Title: Live At Rockpalast - Cologne 1980
Artist: Aswad
Label: Made in Germany Musi
Product Type: COMPACT DISCS
UPC: 885513907127
Genre: Reggae
Release Date: 2017-01-13
Number of Discs: 2
Additional Details: WITH DVD

When Aswad played the Rockpalast recording at the Studio-B of the Westdeutscher Rundfunk nobody expected them to become pop stars in the future, yet. In 1980 they still were part of the London "Punky Reggae Party". The Rockpalast concert shows the band at an early stage: influenced by punk, raw and untamed, years before they rose to be one of the most important reggae bands from Great Britain next to Steel Pulse. They saw themselves as pan-African "Rebel Souls" and began their set with a programmatic song, which never appeared on any album: "Only Jah children play reggae music this way!" Driven by the drummer's wild drum patterns and underlined with the filigree organ figures by Clifton 'Bigga' Morrison the concert develops a increasing dubby energy, which leads to the many-voiced complaint: "They want to execute political systems on I and I" with an anarchic echo inferno.

Tracks:
1.1 Only Jah Children
1.2 I a Rebel Soul
1.3 Back to Africa
1.4 Sons of Criminals
1.5 Concrete Slaveship
1.6 Rainbow Culture
1.7 Not Guilty
1.8 Three Babylon
1.9 Natural Progression
2.1 Only Jah Children
2.2 I a Rebel Soul
2.3 Back to Africa
2.4 Sons of Criminals
2.5 Concrete Slaveship
2.6 Rainbow Culture
2.7 Not Guilty
2.8 Three Babylon
2.9 Natural Progression
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SKU: 90352698676

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Zay
West Palm Beach, 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
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Rory Derrick
Massapequa, 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.
Massapequa, 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
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Frank Gonzalez
Los Angeles, 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
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Ira Laefsky
Grantham, 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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