neon house plant Neon Plant — Mudfingers
SKU: 52492325289
neon house plant

neon house plant Neon Plant — Mudfingers

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Description

neon house plant Neon Plant — MudfingersNeon Plant (Scindapsus Aureus) : The neon plant is an easy to grow, hardy indoor plant. It is a very good air purifier and cleanses the surrounding off toxins. Available in creeper version as well as a miniature versions that can be placed on workstations. If put on the ground, they make excellent ground covers too. This plant is in a plastic hanging pot. Light : Well lit places where it receives filtered sunlight is a good spot for neon plants. Soil

Neon Plant (Scindapsus Aureus) : The neon plant is an easy to grow, hardy indoor plant. It is a very good air purifier and cleanses the surrounding off toxins. Available in creeper version as well as a miniature versions that can be placed on workstations. If put on the ground, they make excellent ground covers too. This plant is in a plastic hanging pot.

Light : Well-lit places where it receives filtered sunlight is a good spot for neon plants.

Soil : A good mix of regular loamy sandy soil. It should be well drained.

Watering : Likes the soil to dry up a bit between watering. Always test the soil for moisture before watering. Once in 2 days is ideal for all round the year except summers.

Humidity : Average humidity is good. It likes watering on its leaves.

Feeding : A general NPK feed every month is needed to be luscious and green.

Re-potting : Repot it when it fills the pot over time and the plant kind of overflows. Repot preferably during spring. 

Propagation : Very easy to propagate via stem cuttings ... either place them in water or in sandy soil. Both have a good success rate.

Tips : This guy needs to be shaped to look good. Cut run-away shoots and train per your requirement. Informal pinching always helps. 

The product photograph is indicative in nature. We try and adhere to the picture as much as possible, however the actual product may vary in shape or design as per the availability. We hand deliver our products with the greatest care possible.

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SKU: 52492325289

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Zay
Los Angeles, 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
New York, 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.
Lake Worth, 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
Cuba, 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
San Leandro, 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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