SKU: 27901932620

Sorig Men-Chik - Tibetische Kräutermischung Granulat 30 Beutel

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Description

Sorig Men-Chik - Tibetische Kräutermischung Granulat 30 BeutelTraditionelle tibetische Krutermischung in praktischer Granulatform Sorig Men Chik vereint ausgewhlte natrliche Zutaten nach alter Rezeptur. Produktdetails: Inhalt: 30 Beutel 2,5 Gramm (75g gesamt) Traditionelle tibetische Krutermischung Praktisches Granulat fr einfache Anwendung Natrliche Zutaten Von Mentsekhang (Tibetisches Medizininstitut) Zutaten: Granatapfel, Kardamom, Zimt und weitere natrliche Kruter nach traditioneller tibetischer Rezeptur.

Traditionelle tibetische Kräutermischung in praktischer Granulatform –

Sorig Men-Chik vereint ausgewählte natürliche Zutaten nach alter Rezeptur.

Produktdetails:

  • Inhalt: 30 Beutel à 2,5 Gramm (75g gesamt)
  • Traditionelle tibetische Kräutermischung
  • Praktisches Granulat für einfache Anwendung
  • Natürliche Zutaten
  • Von Mentsekhang (Tibetisches Medizininstitut)

Zutaten:

Granatapfel, Kardamom, Zimt und weitere natürliche Kräuter nach traditioneller tibetischer Rezeptur.

Über dieses Produkt:

Sorig Men-Chik basiert auf jahrhundertealter tibetischer Kräutertradition und wird vom renommierten Mentsekhang Institut hergestellt. Diese sorgfältig zusammengestellte Kräutermischung in Granulatform ist ideal für alle, die natürliche Kräuterprodukte schätzen.

Anwendung:

Den Inhalt eines Beutels in warmem Wasser auflösen und trinken. Empfohlen werden 1-2 Beutel täglich.

Wichtige Hinweise:

Nicht geeignet für Kinder und Schwangere. Bei Einnahme von Medikamenten oder Vorerkrankungen konsultieren Sie bitte einen Fachmann. An einem kühlen, trockenen Ort aufbewahren.

Hinweis: Traditionelles Kräuterprodukt. Bei Unverträglichkeiten die Anwendung beenden.

Weitere Informationen: MENCHIK-1

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SKU: 27901932620

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4.3 ★★★★★
Based on 26 reviews
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Z
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Zay
Phoenix, 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
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Rory Derrick
Carnegie, 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
C
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Cory P.
Houston, 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
Verified Purchase
Frank Gonzalez
Charlottesville, 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
Port Orchard, 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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