SKU: 90189019903
3 gallon snake plant

3 gallon snake plant Laurentii

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Description

3 gallon snake plant LaurentiiDracaena (Sansevieria) trifasciata 'Laurentii' Dracaena trifasciata 'Laurentii' is the familiar yellow edged snake plant, with tall sword shaped leaves rising in firm fans from the base. Each leaf has a deep green centre marked with softer grey green horizontal banding, framed by clear yellow margins that make the leaf shape stand out even from a distance. The result is strong, recognisable and clear in a pot. This cultivar brings height in a slim

Dracaena (Sansevieria) trifasciata 'Laurentii'

Dracaena trifasciata 'Laurentii' is the familiar yellow-edged snake plant, with tall sword-shaped leaves rising in firm fans from the base. Each leaf has a deep green centre marked with softer grey-green horizontal banding, framed by clear yellow margins that make the leaf shape stand out even from a distance. The result is strong, recognisable and clear in a pot.

This cultivar brings height in a slim space. It grows from a rhizome, so new leaves appear as basal shoots beside the older fans. Over time, a young plant becomes a fuller clump as fresh leaves push up from the base and add more layers to the yellow-edged outline.

Classic yellow margins on tall sword leaves

  • Leaf shape: Tall, sword-like blades create a strong vertical line.
  • Colour contrast: Yellow margins frame the banded green centre of each leaf.
  • Growth base: The rhizome sends up new leaves beside older fans, gradually thickening the clump.
  • Indoor placement: It gives height while taking up limited floor or shelf space.
  • Longevity: Mature leaves stay firm for a long time when the root zone is kept warm, airy and dry between waterings.

Rhizome storage and dry intervals

Dracaena trifasciata is a rhizomatous species from seasonally dry tropical parts of Africa. 'Laurentii' stores water in thick leaves and depends on oxygen around the rhizome after watering. The plant handles dry intervals well because the leaves and underground structure are built for moisture storage.

'Laurentii' keeps the strong leaf form of the species and adds bright marginal colouring. The yellow edges are part of the cultivar’s visual identity, while the grey-green striping across the blade gives the centre more depth. Mature leaves can become tall and rigid, so the pot should be stable enough to balance the top growth.

Growth is usually slow indoors, especially in winter or away from bright windows. New shoots may appear narrow at first before expanding into stronger leaves. A slightly snug pot keeps the rhizome stable and lets the substrate dry at a predictable pace.

Care for tall yellow-edged leaves

  • Light: In bright indirect light, new leaves stay sturdier and the contrast remains clearer. In lower light, the plant grows more slowly and the pot needs longer drying time.
  • Watering: Wait until the potting mix has dried deeply, then water evenly and let the pot drain fully. The next watering should come after the lower mix has dried again.
  • Substrate: Use a free-draining mix with pumice, lava rock, coarse sand or fine bark. Mineral structure keeps air around the rhizome.
  • Pot choice: A pot with drainage holes and enough weight for tall leaves keeps the plant steady.
  • Temperature: Keep it in normal indoor warmth, ideally around 18–27 °C. Warm conditions help the root zone recover after watering.
  • Humidity: Average household humidity is sufficient.
  • Feeding: Use a diluted balanced or cactus fertiliser during active growth. Light feeding matches the plant’s slow rhizome growth.
  • Repotting: Repot when new shoots crowd the pot, the container starts to distort or the substrate has broken down. A modest size increase is enough.
  • Propagation: Division preserves the yellow-edged pattern. Leaf cuttings can root and may produce green plants.

Yellow-edge stress signs

  • Soft leaf bases: Inspect the substrate depth, cover pot and rhizome area. Softness near the soil line usually means the lower plant stayed damp for too long.
  • Wrinkled leaves: Check the root system before adding more water. Dryness and damaged roots can both produce a wrinkled leaf surface.
  • Brown margins: Review irregular watering, mineral buildup, old knocks and cold air exposure. Remove only the dry edge if trimming is needed.
  • Leaning leaves: Rotate the pot and check whether new shoots are pressing older leaves sideways. Mature plants may need a heavier pot for a steady base.
  • Paused growth: Growth often slows in winter. Check light and warmth first, then adjust feeding during active growth if needed.

Safety for shared spaces

Keep Dracaena trifasciata 'Laurentii' out of reach of pets and small children who may chew the leaves. Snake plants contain saponins, which can cause nausea, vomiting or diarrhoea in cats and dogs if ingested. The tall, firm leaves also need a secure spot where the pot stays steady.

Botanical name of the classic snake plant

The accepted botanical name for the species is Dracaena trifasciata, while Sansevieria trifasciata remains the older name still widely used in plant shops and care guides. The genus name Dracaena comes from the Greek drakaina, meaning “female dragon”, a name historically linked to red resin in some dragon tree relatives. The species epithet trifasciata means “three-banded” or “marked with three bands”, referring to the banded pattern associated with the species.

Dracaena trifasciata 'Laurentii' has tall green leaves, yellow margins and one of the most recognisable snake plant forms.

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Ryan Meyer
Draper, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
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Vineeth Sai
Grantham, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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CL
Battle Creek, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
West Palm Beach, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Los Angeles, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021

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