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dracaena corn plants Dracaena Mass Cane 'Corn Plant' | Best Low-Light Houseplant XL (5-6 ft)Striking Foliage: The Mass Cane is recognized for its broad, glossy leaves with bold yellow stripes running through the center, offering a tropical and sophisticated look to any room's decor. Air Purifying Qualities: Like its Dracaena cousins, the Mass Cane is renowned for its ability to help purify the air, removing common household toxins and improving air quality, which makes it an ideal plant for office spaces and homes. Low Light Tolerance: This
- Striking Foliage: The Mass Cane is recognized for its broad, glossy leaves with bold yellow stripes running through the center, offering a tropical and sophisticated look to any room's decor.
- Air-Purifying Qualities: Like its Dracaena cousins, the Mass Cane is renowned for its ability to help purify the air, removing common household toxins and improving air quality, which makes it an ideal plant for office spaces and homes.
- Low Light Tolerance: This resilient plant thrives in a variety of lighting conditions, including low light areas where other plants may struggle. This adaptability, combined with its slow growth, makes the Mass Cane Corn Plant a hassle-free addition to any indoor space, requiring minimal upkeep.
- Pot pictured is not included
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4.4 ★★★★★
Based on 24 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
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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.
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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.
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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)
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.
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Reviewed in the United States on February 7, 2021