SKU: 2700970823

BESSEY Temperguss-Schraubzwinge TPN25BE-2K 250/120

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Description

BESSEY Temperguss-Schraubzwinge TPN25BE-2K 250/120Die BESSEY Temperguss Schraubzwinge TPN25BE 2K gehrt zur TPN BE 2K Serie der kostengnstigen Temperguss Schraubzwinge mit 2 Komponenten Kunststoffgriff in bewhrter BESSEY Profiqualitt. Mit 250 mm Spannweite, 120 mm Ausladung und einer Spannkraft von bis zu 5. 500 N ist die TPN25BE 2K die ideale Wahl fr Heimwerker und die Ein Mann Werkstatt. Die ergonomische 2 Komponenten Kunststoffgriff sorgt fr sicheren Halt und ermdungsfreies Arbeiten Made in

Die BESSEY Temperguss-Schraubzwinge TPN25BE-2K gehört zur TPN-BE-2K-Serie – der kostengünstigen Temperguss-Schraubzwinge mit 2-Komponenten-Kunststoffgriff in bewährter BESSEY Profiqualität. Mit 250 mm Spannweite, 120 mm Ausladung und einer Spannkraft von bis zu 5.500 N ist die TPN25BE-2K die ideale Wahl für Heimwerker und die Ein-Mann-Werkstatt. Die ergonomische 2-Komponenten-Kunststoffgriff sorgt für sicheren Halt und ermüdungsfreies Arbeiten – Made in Germany.

Produktmerkmale

  • Spannkraft bis 5.500 N – für kraftloses und sicheres Spannen
  • Hochwertiger 2-Komponenten-Kunststoffgriff – für sicheren, ermüdungsfreien Halt
  • Mit Schutzklappen auf den Spannflächen – werkstückschonende Spannung
  • Stabile Hohlprofilschiene mit Riffelung – langlebig und verwindungssteif
  • Charakteristische Tempergussbügel – unverwechselbare BESSEY Qualität
  • Made in Germany – bewährte Qualität seit 1936

Technische Daten

  • Bestellnummer: TPN25BE-2K
  • Spannweite: 250 mm
  • Ausladung: 120 mm
  • Schiene: 29 × 9 mm
  • Spannkraft: 5.500 N
  • Gewicht: 1,50 kg
  • EAN: 4008158030456

Anwendungsgebiete

  • Holzbau und Möbelbau
  • Schreinerei und Tischlerei
  • Küchen- und Ladenbau
  • Innenausbau und Treppenbau
  • Zimmerei und Rohbau
  • DIY
Shipping Notes
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SKU: 2700970823

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4.7 ★★★★★
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Z
Verified Purchase
Zay
Lake Worth, 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
R
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Rory Derrick
Fort Morgan, 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.
Boise, 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
Massapequa, 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
Dallas, 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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