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10 snake plant

10 snake plant Variegated Snake Plant

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Description

10 snake plant Variegated Snake PlantIntroducing the Sansevieria laurentii, known as the variegated snake plant, is one of the most popular snake plant varieties. Native to Tropical West Africa, the Sansevieria laurentii has several other common names, such as snake plant laurentii, variegated mother in law's tongue plant, Sansevieria trifasciata laurentii, or striped snake plant. The Sansevieria laurentii differs from the other main type of snake plant, Sansevieria zeylanica because of

Introducing the Sansevieria laurentii, known as the variegated snake plant, is one of the most popular snake plant varieties. Native to Tropical West Africa, the Sansevieria laurentii has several other common names, such as snake plant laurentii, variegated mother-in-law's tongue plant, Sansevieria trifasciata laurentii, or striped snake plant.


The Sansevieria laurentii differs from the other main type of snake plant, Sansevieria zeylanica because of its green leaves with yellow striped edges and larger size.

The plant has tall, rigid sword-like leaves that grow upright and can reach up to 8 feet tall.

Its leaves provide a striking contrast between their dark green color and the dazzling gold variegation around the edges. 

The flowers of this variegated snake plant are creamy white, pale green, and bloom from late winter through early spring, making it a true showstopper in any garden. This perennial Sansevieria laurentii succulent is perfect for those looking for a low-maintenance addition to their garden or indoor space.  

Sansevieria is part of our clean air plant collection, which filters airborne toxins. The Laurentii snake plant is a popular plant that can be grown in both rock gardens and landscaping, as well as in decorative pots indoors. It's a versatile plant that adds beauty to outdoor spaces and brings a touch of greenery to indoor environments. 

However, because this snake plant laurentii grows slowly, large plants can be expensive. 

When and How to Water Your Variegated Snake Plant 

The Variegated Snake Plant is a drought-tolerant succulent that should be watered every 2–3 weeks during spring and summer and only once every 4–5 weeks during fall and winter, allowing the soil to dry completely between waterings.

From March to August, during the growing season, water your Sansevieria laurentii every 2 to 3 weeks, giving just enough water to moisten the root zone. This is when the plant is actively photosynthesizing and may absorb water more quickly, especially in warm, bright indoor conditions. Always ensure excess water drains out fully and never let the pot sit in water.

From September to February, during the dormant season, reduce watering to once every 4 to 5 weeks, or only when the soil is bone dry. The plant’s growth slows down significantly during cooler months, and its water needs decrease accordingly. Overwatering in winter can easily lead to soft, rotting roots or fungal issues.

Thanks to CAM photosynthesis, this snake plant opens its stomata at night, conserving water efficiently throughout the day. This adaptation, along with its thick, moisture-retentive leaves, means it’s better to underwater than overwater. Wrinkling or slight leaf shriveling are early signs it’s time to water, while mushy or yellowing leaves indicate excess moisture and possible root rot.

Light Requirements - Where to Place Your Variegated Snake Plant

If growing indoors, place your Sansevieria succulents directly in front of a west- or south-facing window, where it gets 4-6 hours of bright, indirect light.

If Sansevieria laurentii don't receive enough bright light, their dark green leaves with yellow variegated edges may grow leggy, become paler, and shorten.

So, make your succulent happy and give your variegated snake plant plenty of brighter light.

When growing outdoors, this Sansevieria laurentii prefers full sun to partial shade for at least 4-6 hours but can also tolerate low light conditions, making it a great choice for rooms with limited natural light. Direct sunlight should be avoided because it can burn your variegated snake plant leaves.

Remember, it's important to gradually acclimate it to the outdoor environment to prevent sunburn. Start by placing it in a shaded area and gradually move it to a spot with more sunlight over a few weeks. This will help the plant adjust to the increased light levels.

Optimal Soil & Fertilizer Needs 

The Sansevieria laurentii snake plant thrives in well-drained soil and should be fertilized once a year in spring. Moisture can be a real killer, leading to root and stem rot in no time. But fear not, my fellow green thumbs! Planet Desert has got your back with our specialized succulents potting mix that includes organic mycorrhizae – perfect for promoting healthy roots and happy Sansevieria laurentii. 

When it comes to fertilizing your variegated snake plant, it only needs a small amount of fertilizer applied once a year in the spring. Succulents prefer a fertilizer with lower doses of NPK, with a maximum ratio of 5-10-5 that is higher in phosphorus than nitrogen. 

Hardiness Zones & More 

In the United States, this is mostly an indoor plant, but if you live in southern Florida or Hawaii, then you can cultivate it outdoors in USDA zones 9-11. 

This plant thrives in dry, semi-tropical conditions, but it goes dormant when temperatures dip, slowing its growth significantly.

If exposed to prolonged cold or frost, especially below 50°F, the leaves may suffer scarring, mushiness, or collapse.

Even in zones where outdoor cultivation is possible, it’s best to grow them in containers so they can be easily relocated when temperatures become unfavorable.

How to Grow Variegated Snake Plant Best Indoors

To grow your Variegated Snake Plant successfully indoors, maintain a warm, stable environment with temperatures between 65°F and 75°F, which closely mimics its native tropical climate. This plant does not tolerate frost or cold drafts, so it should always be kept away from open windows in winter or air conditioning vents. High humidity can also be problematic, as it increases the risk of rot, so aim for dry, well-ventilated indoor conditions. Its upright, sword-shaped leaves not only make it a great vertical accent in tight spaces but also help purify indoor air, making it both a functional and decorative choice for homes and offices.

Wildlife - Variegated Snake Plant Attracts the Following Friendly Pollinators

The variegated snake plant produces small, fragrant flowers that attract a variety of friendly pollinators such as bees, butterflies, and hummingbirds. These pollinators are essential for the plant's reproduction and play a crucial role in maintaining biodiversity in the ecosystem.

Butterflies
Bees
Hummingbirds
Lady Bugs
Multi Pollinators
Other Birds

According to ASPCA, the variegated snake plant is mildly toxic to humans and pets if ingested. The entire plant contains saponins, which can cause gastrointestinal issues like nausea, vomiting, and diarrhea. However, it is safe to touch and handle, making it a popular choice for indoor decoration in homes with pets or children.

How to Propagate Your Sanseveria laurentii

The Sansevieria laurentii can be propagated through division or leaf cuttings. To propagate through division, carefully separate the plant into smaller sections with roots attached and replant them in fresh soil. For leaf cuttings, simply cut a healthy leaf into smaller sections and plant them in soil to root.

Key Takeaways

  1. The variegated snake plant stores water in its thick, upright leaves, making it extremely drought-tolerant and perfect for forgetful waterers or low-maintenance homes.
  2. Its striking vertical foliage is edged with golden-yellow margins, giving it a bold, architectural look that stands out in any modern interior.
  3. This plant improves indoor air quality by filtering toxins like formaldehyde and benzene, making it both beautiful and functional for home or office spaces.
  4. Thanks to CAM (Crassulacean Acid Metabolism) photosynthesis, it absorbs carbon dioxide at night, making it one of the few houseplants ideal for bedroom air purification.
  5. It’s nearly indestructible in the right pot, tolerating low light, dry air, and minimal care, yet leaf damage can occur if temperatures drop below 50°F.

Final Thoughts

Overall, the Sansevieria Laurentii (snake plant laurentii) is a beautiful and resilient plant suitable for indoor spaces due to its ability to tolerate various conditions. Its upright leaves and variegated pattern add elegance to any room. It is low-maintenance, thrives in well-draining soil, and prefers bright, indirect light. Watering should be minimal to prevent overwatering. It can withstand neglect and drought periods. Sansevieria Laurentii's air-purifying qualities make it an excellent choice for improving indoor air quality.  

With the easy-to-care-for variegated snake plant - Sansevieria laurentii, you'll start to spend less time maintaining your garden and more time taking in its beauty! 

You may also like the other popular snake plant varieties, including the moonshine snake plant, the mother-in-laws snake plant, the Cylindrical snake plant, and the Zeylanica snake plant.

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Belleville, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Louisville, 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
Carnegie, 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
Lowell, 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
Port Orchard, 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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