SKU: 37853193909
plant pot and stand large

plant pot and stand large Red Grandis Large plant stand for 4 pots – Meshable

$26.46 $29.40
Save 10%
No.2 Bestseller on mivipcard.com >

Pay in installments of $7.35 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 31 - Aug 5

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

plant pot and stand large Red Grandis Large plant stand for 4 pots – MeshableCRAFTED FOR BEAUTY & STYLE: Meshable's GRANDIS is a captivating floor mounted plant stand that beautifully displays your beloved plants, indoors or outdoors plants and planters. Experience the joy of an organized garden with this unique planter stand, featuring an open grid structure made of metal mesh that prevents water stagnation and protects your flooring from unsightly stains. It can be arranged in a stunning honeycomb pattern adding elegance to

CRAFTED FOR BEAUTY & STYLE: Meshable's GRANDIS is a captivating floor-mounted plant stand that beautifully displays your beloved plants, indoors or outdoors plants and planters. Experience the joy of an organized garden with this unique planter stand, featuring an open grid structure made of metal mesh that prevents water stagnation and protects your flooring from unsightly stains. It can be arranged in a stunning honeycomb pattern adding elegance to your garden decor.

ORGANISE WITH STYLE: Create a mesmerizing honeycomb pattern by arranging multiple GRANDIS plant stands, adding a touch of elegance and harmony to your space. Plants and pots can be added to multiple heights adding to your garden decor. Transform your living space into a lush oasis and let your plants thrive in a visually stunning and organized display.

VERSATILE ARRANGEMENTS, MODULAR FREEDOM, UNIQUE AESTHETIC: GRANDIS combines exquisite design with practicality, providing a secure and charming home for your plants while enhancing the overall aesthetic appeal of your surroundings. The design of this customizable metal plant stand allows you to add multiple layers, racks or levels, thus giving you complete freedom to be creative. It can be arranged in multiple ways, make it customizable to your need and style.

MULTI-PURPOSE SHELF: Grandis is not only a plant stand for Balcony, verandah or backyard. In addition to that its unique rhythmic style looks great in your living room as a bookshelf adding life to your reading corner or simply a shelf for your collectibles.

EASY TO MOUNT & STACKABLE: Grandis is a customizable metal plant stand that comes with spirals which allow sturdy and non slip fit. Its shape allows it to be stacked up in a compact way when not in use.

EASY MAINTENANCE: Crafted with utmost attention to detail, Grandis boasts a high-quality, rust-proof wire mesh that stands the test of time. Its powder coating not only lends a clean, glossy, and uniform finish, but also ensures easy maintenance. With a simple wipe- off, it regains its impeccable appearance, preserving its allure for years to come.

DURABLE- LONG RUST FREE LIFE: Durability is at the core of Grandis's design. The highly rust-resistant GI wire mesh, meticulously machine-welded and powder-coated in a controlled environment, ensures a long and rust-free life. This makes Grandis suitable as a durable plant stand for your balcony, allowing it to withstand the elements, be it rain or shine, without compromising its beauty. Let this rust proof pot stand be your constant companion, whether gracing your balcony, verandah, or even your living room, window ledge or entrance foyer.

SUSTAINABLE: 100% Recyclable steel, eco-friendly powder coating technology. No plastic packaging, Low volume (flat pack) packaging.

WEIGHT CARRYING CAPACITY: 10 KG / Stand, 5kg for upper levels in mountain mode

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: 37853193909

Discover Niche Categories That Outsell plant pot and stand large

Top-Converting Item to Boost Your Average Order

4.2 ★★★★★
Based on 13 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
C
Verified Purchase
Carol
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 24, 2019
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
Fort Morgan, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 1, 2019
P
Verified Purchase
Par
Battle Creek, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Chelsea, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Carnegie, 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

recommand products

Money Tree (Pachira aquatica)
21.39
4" Pachira aquatica 'Money Tree'
20.31
Pachira aquatica | Money Tree
20.72
Buy Pilea Peperomeoides
26.06
Heirloom Non-GMO Lunaria Money Plant Seeds for Planting – Violet Blooms with Decorative Seed Pods Organic Garden Seeds
20.27