SKU: 67643643592
aglaonema large

aglaonema large Aglaonema

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Description

aglaonema large AglaonemaWhether you're starting your collection of house plants, or just looking to add another friend to your ledge, consider the gorgeous and very leafy Chinese evergreen. Its long variegated leaves are a gorgeous mix of silver and green. Between varieties, their patterns vary from tiger stripes to brushed feathers, to amoeba shapes resembling a rorschach test. The plant can grow up to four feet tall and the leaves alone can stretch to an impressive twelve

Whether you're starting your collection of house plants, or just looking to add another friend to your ledge, consider the gorgeous and very leafy Chinese evergreen. Its long variegated leaves are a gorgeous mix of silver and green. Between varieties, their patterns vary from tiger stripes to brushed feathers, to amoeba shapes resembling a rorschach test. The plant can grow up to four feet tall and the leaves alone can stretch to an impressive twelve inches!

The Silver Bay Aglaonema is often referred to by its common name, Chinese Evergreen. The species was cultivated in China and other Asian countries for centuries as indoor ornamental foliage plants — or houseplants — known to bring good luck. 

One of the best plants for beginners, it's sturdy, easy to grow and tolerates almost any indoor condition. It's also definitely a great low-maintenance house-warming gift. It truly is 'evergreen' in that, when cared for properly, it will stay lush and beautiful for years. With rich green leaves boasting silver patterns, it's one of the prettiest and toughest plants around. 

🪴 Each plant is unique: depending on the season the size and shape may vary. 

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SKU: 67643643592

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Zay
Boise, US
★★★★★ 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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Rory Derrick
Birmingham, US
★★★★★ 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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Cory P.
Houston, US
★★★★★ 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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Frank Gonzalez
Pawtucket, US
★★★★★ 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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Ira Laefsky
Louisville, US
★★★★★ 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

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