SKU: 97365570437
new snake plant

new snake plant African Spear Plant 'Sansevieria cylindrica'

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new snake plant African Spear Plant 'Sansevieria cylindrica'Get ready to be amazed by the African Spear plant, also known as Sansevieria cylindrica (Dracaena angolensis), one of the snake plant varieties and a vibrant member of the Sansevieria genus! It has many other common names, including cylindrical sansevieria, the cylindrical snake plant, the Starfish sansevieria, the bow string hemp, dragon fingers, and pencil Sansevieria. This snake plant does not have ordinary upright, dark green leaves; they are

Get ready to be amazed by the African Spear plant, also known as Sansevieria cylindrica (Dracaena angolensis), one of the snake plant varieties and a vibrant member of the Sansevieria genus! It has many other common names, including cylindrical sansevieria, the cylindrical snake plant, the Starfish sansevieria, the bow-string hemp, dragon fingers, and pencil Sansevieria. 

This snake plant does not have ordinary upright, dark-green leaves; they are horizontally striped and have an extraordinary cylindrical fan shape that tapers to a fine point at its tips.The single leaf of this spear sansevieria can grow up to 7 feet tall and up to 1.4 inches wide. 

In the right conditions, these extraordinary Sansevieria plants might surprise you with a small creamy-white flower spike shooting up from their center. While the cylindrical snake plant flower is not the largest or most colorful among its succulent family, it does have a distinct, sweet-smelling, and pleasing fragrance. These delicate white blooms dance in the air like tiny fairies spreading joy and enchantment everywhere they go. It's simply magical! 

Remember, these cylindrical snake plants are mildly toxic for humans and pets, so, it's important to keep them away from children and pets. It is the simplest way to multiply and propagate Sansevieria cylindrica plants. You can either adopt the division or the leaf-cuttings method of Sansevieria cylindrica propagation. While this slow-growing succulent is known to live longer than most other succulents provided it is kept in a warm and well-lit position. 

Watering Needs 

Native to Africa, the African spear succulent plant doesn't need much water to thrive. In fact, it's best to water the Sansevieria cylindrica plant only when the soil is completely dry, which can be once every two to three weeks. When you do water your Sansevieria plants, be sure to do so thoroughly, allowing the water to soak into the soil. Be careful not to overwater it, as this can cause root rot, which can be fatal to the plant. 

But come wintertime (dormant period), you can cut back to every two weeks or less. And get this - any type of water (except hard water) will work just fine! So, whether you use tap or filtered, or even rainwater, your cylindrical snake plant will thrive in no time. Just remember to avoid hard water since this African spear plant doesn't like lime very much. 

Light Requirements 

The African spear plant, or Sansevieria cylindrica survives in bright full sunlight but can also tolerate low light conditions. It's best to avoid direct afternoon sunlight, as this can burn the leaves. 

If you're growing the African spear indoors, place it near a north-facing window that gets plenty of bright, indirect light. If you're growing it outdoors, be sure to provide it with some shade during the hottest part of the day. Without enough light, photosynthesis rates drop, leaves become thin, colors appear dull, there is an unhealthy look to the plant, and growth is stunted. 

Optimal Soil Needs 

The Sansevieria cylindrica prefers soil that's well-drained and rich in organic matter. A good potting mix for this African spear should be a combination of peat moss, perlite, and sand. You can also add some compost or aged manure to the soil to provide additional nutrients. Planet Desert has got your back with our specialized succulent potting mix that includes 5 natural substrates with organic mycorrhizae perfect for promoting healthy roots and happy plants. 

When it comes to fertilizing this Sansevieria, it's best to use a slow-release fertilizer that's high in nitrogen. You can fertilize the plant once a year during the growing season, which is typically from spring to fall. Avoid over-fertilization as it can lead to the death of your stunning succulent. 

Hardiness Zone & More 

Typically grown in hot, arid desert regions, the Sansevieria cylindrica thrives indoors in warm, dry surroundings. If you live in USDA regions 9 to 11, you can also grow these Sansevieria plants outdoors year-round, but they are not cold- or frost-tolerant, so you should plant them indoors or put them in a pot and move them indoors during the winter if you live outside of these regions. 

Keep your African spear plants away from cold, drafty windows and air vents if you are growing them indoors in a cold climate. 

We think you will love this Sansevieria plant order your very own Sansevieria cylindrica - African spear or cylindrical snake plant today and start enjoying its beauty in no time! 

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Zygerian99
Dallas, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
San Leandro, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Boise, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
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Adam
Lake Worth, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
New York, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017

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