SKU: 66993103365

cajon frutas verduras beko 4640470200 indesit c00898187

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Description

cajon frutas verduras beko 4640470200 indesit c00898187Diese Gemseschublade ist ein originales OEM Ersatzteil, das fr Khlschrnke entwickelt wurde. Sie ist eine wesentliche Komponente zur Aufbewahrung von Obst und Gemse an der richtigen Stelle im Khlschrank und sorgt fr Frische und Ordnung der Lebensmittel. Wozu dient dieses Ersatzteil? Ersetzt eine zerbrochene, rissige oder beschdigte Gemseschublade. Behebt Probleme mit unzureichender Lagerung oder Frischeverlust bei Obst und Gemse. Modelle: Diese

Diese Gemüseschublade ist ein originales OEM-Ersatzteil, das für Kühlschränke entwickelt wurde. Sie ist eine wesentliche Komponente zur Aufbewahrung von Obst und Gemüse an der richtigen Stelle im Kühlschrank und sorgt für Frische und Ordnung der Lebensmittel.

Wozu dient dieses Ersatzteil?

  • Ersetzt eine zerbrochene, rissige oder beschädigte Gemüseschublade.
  • Behebt Probleme mit unzureichender Lagerung oder Frischeverlust bei Obst und Gemüse.
Modelle:

Diese Schublade ist kompatibel mit Kühlschränken der Marken Beko und Indesit, mit spezifischen Referenzen, die eine perfekte Passform und optimale Funktionalität gewährleisten.

  • Beko: Modelle mit der Referenz 4640470200, wie Beko CN147220, Beko CSA27020, Beko RCSA270K20, Beko CSA27020X, Beko CNA34022X, Beko CN134220X.
  • Indesit: Kühlschränke mit dem Code C00898187, einschließlich Indesit TIAA 12, Indesit TIAA 14, Indesit TIAA 12 EU, Indesit TIAA 12 EU/N, Indesit TIAA 14 EU.
Eigenschaften:
  • Teileart: Schublade zur Aufbewahrung von Gemüse im Kühlschrank
  • Kompatible Marken: Beko, Indesit
  • Äquivalente Codes: Beko 4640470200, Indesit C00898187
  • Robustes Material, geeignet für den Einsatz im Kühlschrank
  • Originales OEM-Design zur Gewährleistung von Kompatibilität und Langlebigkeit
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SKU: 66993103365

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4.6 ★★★★★
Based on 22 reviews
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Z
Verified Purchase
Zay
Cuba, 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
Houston, 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
Verified Purchase
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
Fort Morgan, 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
Houston, 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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