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Brother LC75XL LC71XL Compatible Ink Cartridge (14 Pack)Product Name: E Z Ink compatible ink cartridges replacement for Brother LC 71 75XL Package Contents: 5 x Black 71 75xl, 3 x Cyan 71 75xl, 3 x Magenta 71 75xl, 3 x Yellow 71 75xl (Total 14 Pack) Page Yield: Black is 600 pages per cartridge and Color is 600 Pages per cartridge at 5% coverage Compatible Printers: Brother MFC J6510DW,MFC J6710DW,MFC J6910DW,MFC J280W,MFC J425W,MFC J430W,MFC J435W,MFC J5910DW,MFC J625DW,MFC J825DW,MFC J835DW Inkjet Printer
- Product Name: E-Z Ink compatible ink cartridges replacement for Brother LC 71 / 75XL
- Package Contents: 5 x Black 71/75xl, 3 x Cyan 71/75xl, 3 x Magenta 71/75xl, 3 x Yellow 71/75xl (Total 14 Pack)
- Page Yield: Black is 600 pages per cartridge and Color is 600 Pages per cartridge at 5% coverage
- Compatible Printers: Brother MFC-J6510DW,MFC-J6710DW,MFC-J6910DW,MFC-J280W,MFC-J425W,MFC-J430W,MFC-J435W,MFC-J5910DW,MFC-J625DW,MFC-J825DW,MFC-J835DW Inkjet Printer
- Premium quality ink delivers crisp text and graphics
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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
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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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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
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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
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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