SKU: 92189408626
happy bean succulent plant

happy bean succulent plant Peperomia 'Happy Bean'

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Description

happy bean succulent plant Peperomia 'Happy Bean'Peperomia 'Happy Bean' is easy going with gorgeous glossy green leaves and darker green 'windows' which allow for photosynthesis. Most Peperomia are native to sub tropical areas of South and Central America but they can also be found in Africa, South Asia, and Oceania. The genus is in the family Piperaceae (the pepper family). Due to the fact that Peperomia like warm air, they are commonly known as Radiator Plants. They are also non toxic to pets who

Peperomia 'Happy Bean' is easy going with gorgeous glossy green leaves and darker green 'windows' which allow for photosynthesis.

Most Peperomia are native to sub-tropical areas of South and Central America but they can also be found in Africa, South Asia, and Oceania. The genus is in the family Piperaceae (the pepper family).

Due to the fact that Peperomia like warm air, they are commonly known as Radiator Plants. They are also non-toxic to pets who like to chew plants!

Nursery Pot Size: 12cm
Height: 20cm
Fits Decorative Pot Size: 14cm

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SKU: 92189408626

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4.9 ★★★★★
Based on 29 reviews
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Verified Purchase
P. H.
Lowell, US
★★★★★ 5
Masterful biography and history of the birth of the Red Power movement.
Format: Hardcover
Kent Blansett has broken much new ground with his masterful biography of the charismatic Richard Oakes. The book is also an astute and insightful account of the birth and rise of the Red Power Movement and the occupation of Alcatraz. Scholarly but written in an accessible style, this book will appeal to all readers.
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Reviewed in the United States on November 2, 2018
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Verified Purchase
Hashi Hanta
New York, US
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
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Verified Purchase
Carol
Omaha, US
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
West Palm Beach, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Par
Phoenix, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024

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