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Description
Flexco 2-in x 78-in Lakemont Solid Wood Floor ThresholdFlexco Lakemont Oak threshold is designed for the transition between floors of different heights The Lakemont finish and top coat allow the woods natural beauty to shine through while offering a rich color to match wood flooring Prefinished with an environmentally friendly water based low VOC polyurethane top coat Made from the finest solid hardwood available for lasting durability See flooring manufacturer guidelines for required underlayment Easily
Flexco Lakemont Oak threshold is designed for the transition between floors of different heights The Lakemont finish and top coat allow the woods natural beauty to shine through while offering a rich color to match wood flooring Prefinished with an environmentally friendly water-based low VOC polyurethane top coat Made from the finest solid hardwood available for lasting durability See flooring manufacturer guidelines for required underlayment Easily cut for custom finish Each threshold is 2-in W x 0.688-in H x 78-in L Smooth finish for flawless transition to flooring and can be installed in both residential and commercial buildings "Pass-it-on" warranty could not be more simple, we will match the warranty provided by the hardwood flooring manufacturer on any project where our hardwood transitions are usedFeatures
| Species | Oak |
| Thickness (Inches) | 0.688 |
| Length (Inches) | 78 |
| Width (Inches) | 2 |
| Primed | No |
| Ready to Paint or Stain | No |
| Available in Contractor Packs | No |
| Manufacturer Color/Finish | Lakemont |
| Color/Finish Family | Gray |
| CA Residents: Prop 65 Warning(s) | Yes |
| Finish Type | Medium |
| Wood Species | Oak |
| Material | Solid wood |
| Type | Threshold |
| Water Protection | N/A |
| Finish | Prefinished |
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4.6 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
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