Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 8 - Jul 13
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
fiddle leaf fig cold Fiddle Leaf FigThe Fiddle Leaf Fig (Ficus lyrata), is famous for its broad green leaves with prominent veining. These plants are sometimes described as "fickle," but they thrive in stable environment with consistent temperatures. Keep it in bright light, and water about once every 1 to 2 weeks. Each plant is unique; size and shape fluctuate by season so all measurements are shown as a range Medium plant measures between 712 inches tall from bottom of the grow pot to
The Fiddle Leaf Fig (Ficus lyrata), is famous for its broad green leaves with prominent veining. These plants are sometimes described as "fickle," but they thrive in stable environment with consistent temperatures. Keep it in bright light, and water about once every 1 to 2 weeks.
- Each plant is unique; size and shape fluctuate by season so all measurements are shown as a range
- Medium plant measures between 7–12 inches tall from bottom of the grow pot to the top of the foliage
- Extra Large plant measures between 4-6 feet tall from bottom of the grow pot to the top of the foliage
- Giant plant measures between 7-8 feet tall from bottom of the grow pot to the top of the foliage
- Arrives in a nursery grow pot nestled in your planter choice; except for large planters which ship separately from plants
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.5 ★★★★★
Based on 2169 reviews
Sort
Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021