


TYPE 2 VAN 1968-72 COMPLETE FRONT CARPET SET LHD
Marsoni
M251S
Get it in 3 business days with 1 day shipping.
Friday, May 29
TYPE 2 VAN 1968-72 COMPLETE FRONT CARPET SET LHDThis four piece carpet set includes the walk through mat a pair of wheel arch carpets and the front cab mat. An excellent and popular option to put some comfort back into your cab area. The outer edge of the wheel arch covers have a moulded rubber extrusion sewn on to allow the edge to be fitted to the metal lip of the wheel arch. Please note that we no longer cut the seat runner holes this is best done when fitting. Newton Commercial Part No CK7299
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★★★★★ 5
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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
★★★★★ 5
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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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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
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
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Reviewed in the United States on April 7, 2024
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An Excellent Self-Discovery Approach to Learning Algorithms
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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.
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