SKU: 17292985993
plants similar to chinese money plant

plants similar to chinese money plant Pilea peperomioides, Chinese Money Plant – Magic Valley Gardens

Sale price$18.12 Regular price$20.13
Save 10%

Pay in installments of $5.03 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 24 - Jul 29

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

plants similar to chinese money plant Pilea peperomioides, Chinese Money Plant – Magic Valley GardensPilea peperomioides (Chinese Money Plant) The Chinese Money Plant is instantly recognizable thanks to its perfectly round, coin shaped leaves that seem to float on slender stems. These playful leaves have earned it popular nicknames like Pancake Plant and UFO Plant, and its story is just as charming as its look. A Norwegian missionary first brought this plant from southern China to Europe in the 1940s, where it quickly became a favorite in

Pilea peperomioides (Chinese Money Plant)

The Chinese Money Plant is instantly recognizable thanks to its perfectly round, coin-shaped leaves that seem to float on slender stems. These playful leaves have earned it popular nicknames like Pancake Plant and UFO Plant, and its story is just as charming as its look. A Norwegian missionary first brought this plant from southern China to Europe in the 1940s, where it quickly became a favorite in Scandinavian homes and eventually around the world.

This trendy houseplant is grown for its unique foliage rather than its flowers and is loved for its easygoing nature. It is a low-maintenance perennial that thrives indoors, is considered pet-safe, and is known for helping improve indoor air quality. With the right conditions, your Pilea can grow quickly and may even double in size within a year.

One of the best features of the Chinese Money Plant is how easy it is to propagate. It produces little “pups” that can be removed and replanted, making it a perfect plant to share with friends which is how it earned the nickname Friendship Plant.

Care Guide

Light:
Pilea prefers bright, indirect light but adapts well to medium and even lower light settings. Rotating the plant occasionally helps keep growth balanced and prevents leaning.

Water:
Allow the soil to dry out between waterings. Mature plants prefer a full dry-down, while younger plants do better when watered once the soil is about 90% dry. Filtered or distilled water is recommended, as this plant can be sensitive to minerals and chemicals in tap water, which may cause leaf spotting.

Soil:
Use a fast-draining mix. A blend of regular potting soil and cactus soil works well, with added perlite or pumice for extra drainage if desired.

Order & Shipping Info:
-Plants ship in a grower's pot, fully rooted.
-We ship every Monday and Tuesday (excluding holidays) to avoid weekend delays.
-Our photos show what you can expect, but each plant is unique and may look slightly different upon arrival.
-Minor damage during shipping is entirely normal and should be expected, especially in extreme summer or winter temperatures. Don’t worry—damaged foliage can be trimmed away and will not affect the plant's root system or overall health.
-Hold off on watering if the soil is still moist, and wait 2-4 weeks before repotting or fertilizing. This patience will help your plant adjust smoothly without going into shock.

Important:

  • Report any order issues the day they arrive by messaging us on Etsy or emailing [email protected] with a photo. After 24 hours, no refunds, returns, or exchanges—no exceptions.
  • We guarantee plants arrive alive but can’t promise long-term success due to plant nature.
  • Refunds are case-by-case. Many plants recover with proper care, so refunds may not be needed.
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 17292985993

Discover Niche Categories That Outsell plants similar to chinese money plant

Top-Converting Item to Boost Your Average Order

4.4 ★★★★★
Based on 27 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
A
Verified Purchase
Amazon Customer
Battle Creek, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
New York, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Grantham, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Draper, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

recommand products