SKU: 261064916
white lily stream

white lily stream Swamp Lily, Crinum americanum, White Spider Lily, or Native Bulbs – The Southern Bulb Co

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Description

white lily stream Swamp Lily, Crinum americanum, White Spider Lily, or Native Bulbs – The Southern Bulb CoThe Crinum americanum is a native lily that is better known as a "Swamp Lily" or "String Lily." It is native to the southern United States in zones 8 11. The white spidery blooms begin to appear around late April early May, and if it is planted in the right conditions, can continue into October! They make large clumps and showy displays in settings that are often too hostile to other bulbs and plants. They produce multiple softball size blooms atop

The Crinum americanum is a native lily that is better known as a "Swamp Lily" or "String Lily." It is native to the southern United States in zones 8-11. The white spidery blooms begin to appear around late April/early May, and if it is planted in the right conditions, can continue into October! They make large clumps and showy displays in settings that are often too hostile to other bulbs and plants. They produce multiple softball-size blooms atop strong stalks amid dark green foliage. In pond areas, they look like islands of white color!

The "Swamp lily" is a one-of-a-kind and rarely seen in gardens. As gardeners, we are always looking for something to make our garden beautiful yet connected to our environment as well. The "Swamp Lily" offers a unique opportunity to satisfy both of those goals. As a native though, we want to be very clear on something. Natives like to be in specific conditions.

WARNING: Yes, we have this above, but we want your bulbs to be successful for you, and this is extremely important! Please note that the native habitat for this bulb is an environment which it is wet and boggy (thus, "Swamp Lily") all the time. Some examples of this would be constantly wet ditches, spillways from lakes, pond edges, or even rain gardens. If the area is wet and boggy all year long, then this bulb will continue to produce blooms into October! The bulbs are smaller than you would expect for the amount of blooms they eventually put out once they are mature.
This native bulb is different from the Hymenocallis liriosme, Texas Spider Lily, that likes to be wet in the spring but DRY in the summer for its dormant period.

Blooms: When the "Swamp lily" blooms, the white "spiders" sit on tall, narrow stems. The dark green stems usually stand about 2 feet tall, but they can grow up to 3 feet tall depending on the conditions. The lily-like white blooms usually appear in April, and as long as the bulb stays damp, it will continue to produce flowers through September. Each petal is several inches long that bend outward like a star showing their pinkish stamens. Each stalk produces 2-6 blooms which can be cut off and used indoors if desired, and the white blooms cluster to create a softball-size clump. The "Swamp lily" has a light sweet fragrance.

Planting: This bulb does not do well planted in a pot. The "Swamp lily" performs best planted in full sun, but it can tolerate a little shade. Remember, it does well in zone 11! It does not have to be planted in water, but it thrives in moist to wet soil. It can be planted directly in shallow water (just cover the roots) or in very damp soil.

Regular garden bed: If you are trying to grow this unique bulb in a regular garden bed, you'll want to keep it well-watered throughout the summer and all year long because this lets it continue to grow and keep producing blooms. This bulb prefers the soil to be consistently moist. It would benefit from rich, organic soil that will keep the soil from drying out. It can be planted near a water feature or rain garden to naturally get the moisture that it needs. Drying out can stress this bulb. It would do well if you have an area that is slightly lower-lying, or you can water it well often.

Resilient: The "Swamp lily" is a hardy plant that can grow easily in zones 8-11. This bulb can be planted in 7b with some extra care and winter protection. WARNING: Native flowers and bulbs can be hard to adapt to modern landscapes. Please note that the native habitat for this bulb is an environment in which it is wet all year long.

Foliage: The green straping leaves are 2-4 feet long and several inches wide.

This is a sampling of the bulbs that are offered.

You will receive small to medium bulbs in this special offer. The bulbs were just harvested from their wet spring soil so be prepared for them to look this way. The best thing that you can do is to plant them as soon as possible in conditions similar to their native environment - somewhere wet and boggy right away. We know that this means digging in the mud, but you are doing this for the bulbs and for the beautiful stand that you will have in the future!

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SKU: 261064916

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Amazon Customer
Phoenix, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Natrona Heights, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Tommy Jonsson
Whiting, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Moses Kayanda
San Leandro, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Gabe Rigall
West Palm Beach, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022

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