SKU: 96858357021

RS750 Anvil Loppers

Sale price$80.99 Regular price$89.99
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Ships within 48 hours · Estimated delivery Jul 17 - Jul 22

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Description

RS750 Anvil LoppersWolfs new cutting head technology on the RS750 has 3x the cutting power as prior models so these are an easy choice for tackling tough jobs. The anvil blades are designed to reduce any strain on the wrists and hands unlike bypass blades these don't give as clean a cut but work with the purpose of helping you tackle older rough growth with ease. The innovative Wolf Garten hand tool range has been a firm staple in our store and for good reason. With

Wolfs new cutting head technology on the RS750 has 3x the cutting power as prior models so these are an easy choice for tackling tough jobs.  

The anvil blades are designed to reduce any strain on the wrists and hands - unlike bypass blades these don't give as clean a cut but work with the purpose of helping you tackle older rough growth with ease.

The innovative Wolf- Garten hand tool range has been a firm staple in our store and for good reason. With renowned quality Wolf Garten garden tools are made to an exceptionally high standard. The manufacturers are so confident in these products that they offer a guarantee of up to 35 years (multi-change system hand tools only up to 10 year guarantee offered on other Wolf  Garten items). 

In operation for over 100 years Wolf tools stand the test of time; customers often compliment how robust Wolf Garten tools are and their marked quality difference versus other gardening tools. Explore the range of garden tools wolf have to offer both in store and online. 

Key details of the RS5000 secateurs include:

  • 45mm max cutting diameter
  • Anvil blades
  • Ergonomic handles with soft lining for optimum comfort
  • 3x the cutting power of other models 
  • 75cm long x 35cm wide x 8cm deep
  • 1.4kg
  • 10 year guarantee
  • Made in germany
Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 96858357021

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4.3 ★★★★★
Based on 14 reviews
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Verified Purchase
Zay
Omaha, 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
Draper, 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
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Cory P.
Natrona Heights, 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
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.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Pawtucket, 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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