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Powerline: Journey - 12-INCH SINGLETitle: Journey Artist: Powerline Label: Mr Bongo Product Type: 12 INCH SINGLE UPC: 7119691256368 Genre: Soul R & B Release Date: 2019 05 03 Number of Discs: 1 Classic jazz funk disco cut that became an instant anthem on all discerning dance floors when it was originally released, and for decades to follow. Includes the previously commercially unreleased Sax Mix of 'Journey', cut loud at 45rpm. Championed by DJs including Francois Kevorkian, David
Title: JourneyArtist: Powerline
Label: Mr Bongo
Product Type: 12-INCH SINGLE
UPC: 7119691256368
Genre: Soul/R & B
Release Date: 2019-05-03
Number of Discs: 1
Classic jazz/funk/disco cut that became an instant anthem on all discerning dance floors when it was originally released, and for decades to follow. Includes the previously commercially unreleased Sax Mix of 'Journey', cut loud at 45rpm.Championed by DJs including Francois Kevorkian, David Mancuso, Larry Levan and more, it's a record that, alongside tracks like Atmosfear's 'Dancing In Outer Space', become synonymous with the UK influence on US club music at the time. A sound that many forward thinking DJs in New York, Chicago etc. Embraced to stand out from the crowd and bring depth to the dance floor.Driving jazz/funk, legato bass, grooving beats, subtle keys, dubbed out percussion and guitar licks that bring you to a simple but infectious piano melody.A collaboration between Andy Sodjka and Jerry Pike, mastered by Herb Powers.Licensed from Chemical Discs.
Tracks:
1.1 Journey
1.2 Journey to... (Sax Mix)
1.3 Double Journey
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4.9 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe.
Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us.
This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021
★★★★★ 1
Don't buy. Author's okay effort to publish what seems like a rough draft.
Format: Paperback
Poorly written, unnecessarily complex wording to code introduction/explanations, and path to solutions (cover to cover of the book) are the most bizarre of choices. Excessively wordy and dramatic (i.e. "let me tell you the entire history of human kind before we dive into anything programming/problem solving related." ). Either he's new to publishing or programming, or both. PASS.
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Reviewed in the United States on April 26, 2022