SKU: 21486372912

Holy Smokes Green Line Räucherkegelset

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Description

Holy Smokes Green Line RäucherkegelsetAbsolut naturrein Aus hochwertigen Krutern und Harzen Mit einem hohen Anteil an reinem therischen l Inklusive Keramikhalter Bestens geeignet zum Testen fr Einsteiger Berk Qualittsrucherung Unsere Green Line wird nach hchsten Ansprchen der Naturreinheit gefertigt. Sie enthlt neben hochwertigen Krutern und Harzen einen hohen Anteil an reinem therischen l und ist 100% naturrein. Alle Zutaten werden liebevoll zu einer Paste geknetet und dann in Form

    • Absolut naturrein
    • Aus hochwertigen Kräutern und Harzen
    • Mit einem hohen Anteil an reinem ätherischen Öl
    • Inklusive Keramikhalter
    • Bestens geeignet zum Testen für Einsteiger
    • Berk Qualitätsräucherung
  •  

    Unsere Green Line wird nach höchsten Ansprüchen der Naturreinheit gefertigt. Sie enthält neben hochwertigen Kräutern und Harzen einen hohen Anteil an reinem ätherischen Öl und ist 100% naturrein. Alle Zutaten werden liebevoll zu einer Paste geknetet und dann in Form gebracht. Die Green Line ist eine Serie ohne Bambusstab. Lassen Sie sich von diesen wundervollen Düften verzaubern. Sie entführen Sie in die Welt des Orients, in eine Welt in welcher Ruhe, Geborgenheit und Muße noch wichtig sind. Mit Keramikhalter.

    Diese Kegel sind das reinste Vergnügen!

    Inhalt: Je 1 Kegel aller 8 Sorten.

    Champa-Blüten, Ylang Ylang, Zimt, Nelke, Zeder, Myrrhe, Weihrauch, Sandelholz


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    SKU: 21486372912

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    4.0 ★★★★★
    Based on 22 reviews
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    Z
    Verified Purchase
    Zay
    New York, 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
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on October 23, 2024
    R
    Verified Purchase
    Rory Derrick
    Dallas, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on December 2, 2021
    C
    Verified Purchase
    Cory P.
    Belleville, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 3, 2021
    F
    Verified Purchase
    Frank Gonzalez
    Lexington, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 7, 2021

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