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Description
Brady BMP61 M611 R6000 Halogen Free Printer RibbonBMP61 M611 R6000 Halogen Free Printer Ribbon Overview BMP61 Series ribbon cartridges allow users to change ribbons in seconds. One color ribbon for printing a single color onto a label R6000 Series Halogen Free Resin Formulation offers excellent solvent, scratch and heat resistance when printed on the appropriate label material Recommended for printing on glossy or very smooth label stocks, such as B 483 Ultra Aggressive Polyester and B 423 Permanent
BMP61 M611 R6000 Halogen Free Printer Ribbon
Overview
BMP®61 Series ribbon cartridges allow users to change ribbons in seconds.
- One-color ribbon for printing a single color onto a label
- R6000 Series Halogen-Free Resin Formulation offers excellent solvent, scratch and heat resistance when printed on the appropriate label material
- Recommended for printing on glossy or very smooth label stocks, such as B-483 Ultra Aggressive Polyester and B-423 Permanent Polyester from Brady®
- Automatic label formatting with smart cell technology and easy loading
Specifications
| Key Characteristics | Catalog Page # | 150 |
| Product Number | 148128 | |
| UPC | 754473580506 | |
| UOM | Roll of 75 Feet | |
| Trade Name | BMP®61 | |
| Brand Name | Brady® | |
| Ribbon Series | R6000 Halogen Free | |
| Country of Origin | Mexico | |
| HTS Code (Harmonized Tariff Schedule) | 8443.99.2550 | |
| ECCN (Export Commodity Control Number) | EAR99 |
| Dimensions | Ribbon Size | 2 in W x 75 ft L |
| Roll Length | 75 ft | |
| Ribbon Width | 2 in |
| Material Characteristics | Material Number | R6000 Halogen Free (View Technical Data Sheet) |
| Color | Black | |
| Ribbon Color Options | Single Color Ribbon | |
| Resistance Properties | Halogen Free, Heat-Resistant, Scratch-Resistant, Solvent-Resistant | |
| Ribbon Formulation Type | Resin |
| Product Features | Label/Media Format | Ribbon in Printer Specific Cartridge |
| Ribbon Roll Type | Ribbon in Cartridge |
| Compatibility | Printer Compatibility | BMP61, M611 |
| Compliance | UNSPSC | 45101711 |
| RoHS Compliance Status | Compliant with Directive 2011/65/EU and 2015/863 |
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4.7 ★★★★★
Based on 5 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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