SKU: 28000334989
butternut squash seeds to plant

butternut squash seeds to plant Organic Squash Seeds — 'Waltham Butternut' – Back to the Roots

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Description

butternut squash seeds to plant Organic Squash Seeds — 'Waltham Butternut' – Back to the RootsOverview Treasured for their ease of cultivation, high food production and excellent storage, squashes have been a staple crop in the Americas for millennia. Tender summer squash is available abundantly throughout the summer, while winter squash can be stored for use throughout the winter. Conditions Squash are frost sensitive, heat loving crops that require temperatures above 70F before planting. They grow best on well drained, fertile soils with a

Overview

Treasured for their ease of cultivation, high food production and excellent storage, squashes have been a staple crop in the Americas for millennia. Tender summer squash is available abundantly throughout the summer, while winter squash can be stored for use throughout the winter.

Conditions

Squash are frost sensitive, heat loving crops that require temperatures above 70°F before planting. They grow best on well drained, fertile soils with a pH between 6.0-7.5. Supply consistent moisture with drip irrigation to reduce mildew and other foliar diseases. For best quality crop, provide full sun (6+ hours of direct sunlight per day). Squash also need ample vining space, so plan accordingly.

Planting

Squash are most commonly planted outdoors directly in the garden. Plant seeds in late spring when the soil is at least 70°F and frost danger has passed. Use our grow calendar tool to find specific planting dates for your region! Seeds germinate in 7-14 days.

Plant 3 seeds in groupings 1/2-1" deep, spaced 18-36" apart depending on variety. Thin to one plant per spot as seedlings develop. 

Care

Squash are heavy feeders. Regular treatments of manure, compost, or fertilizer mixed with water will sustain good growth. Use a high nitrogen formula in early plant growth, and switch to a high phosphorus fertilizer before the blooming period.

Winter squash will need lots of water, especially when fruit sets. Water soil deeply, but avoid getting leaves or fruit wet. Reduce watering as the squash reach maturity. 

Harvest

Harvest squash when vines have begun to die back and fruit has reached its full size and final color. Press your nail into the skin, and if it resists puncture then it is ripe. Cut fruit from vines leaving a 1-2 inch stem for good storage. Let cure in a warm,dry place, then store at 50-55°F.

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SKU: 28000334989

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Amazon Customer
Waukegan, 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
Carnegie, 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
Natrona Heights, 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
Boise, 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
Alexandria, 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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