Pay in installments of $7.05 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 19 - Jul 24
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
bugaboo return policy Bugaboo Donkey 6 Twin Complete Stroller BundleThe side by side stroller built for twins from day one. The Bugaboo Donkey 6 Twin Complete is designed to carry two little ones in parallel comfort, with generous storage and smooth all terrain performance to match. Large puncture proof wheels and a tight turning radius make it easy to steer one handed, even when fully loaded. Though it carries two, the Donkey 6 maintains a surprisingly streamlined footprint at 29. 1 inches wide in twin mode, fitting
The side by side stroller built for twins from day one. The Bugaboo Donkey 6 Twin Complete is designed to carry two little ones in parallel comfort, with generous storage and smooth all terrain performance to match.
Large puncture proof wheels and a tight turning radius make it easy to steer one handed, even when fully loaded. Though it carries two, the Donkey 6 maintains a surprisingly streamlined footprint at 29.1 inches wide in twin mode, fitting through standard doorways without hesitation.
Storage is where it overdelivers. The underseat basket is now 50 percent larger, holding up to 33 pounds or 70 liters. The redesigned side luggage basket keeps essentials close at hand and holds up to 22 pounds in mono configuration or 8.8 pounds when attached to the handlebar in double mode. There is room for diapers, snacks, blankets, and the delightful chaos that comes with two.
Crafted for superior comfort, the Donkey 6 also sets a new standard in textile dyeing. Its innovative dope dyed fabrics use no water and require less energy and fewer chemicals during production. The result is long lasting color that resists sunlight and washing, with pigment built directly into the fiber for enhanced durability and a more eco conscious finish.
New textile dyeing introduced on: Heritage Black, Deep Indigo, Fern Green and Cocoa Brown
Features:
- For use from birth with the bassinet and up to 50lbs in each stroller seat
- Easily converts from a single stroller to a side - by- side double stroller in just three clicks
- For use with one child (Single), two children of different ages (Double), or twins (Twin)
- Extra - large sun canopy complete with a quiet peek - a- boo/breezy window
- Standing, one - piece fold in any configuration with bassinet and/or seat(s) attached
- Fits through standard doorways in Single, Double, and Twin mode
- Easy to push, turn and maneuver with just one hand on any terrain
- One - hand reclining seat; 3 positions parent facing & 2 positions front facing
New for Donkey 6:
- Newborn bassinet(s) with twice as large breezy panels, soft organic cotton lining and extended apron with pocket
- Under seat basket with 50% more storage space holding up to 33lb
- Redesigned side bag doubles as a changing bag and can attach to the handlebar holds up to 8.8lbs (while in double on handlebar)
- Seat fabric covering footrest for cleaner look, back seat pocket and color matching harness with longer straps
- Lighter wheel design
- Durable recycled fabrics and premium branding
Specifications:
- Max Child Weight lbs.: 50 lbs.
- 4-year warranty (2 years at purchase + 2 years when registered with Bugaboo)
Dimensions
- Unfolded: Single mode: 34.25 x 23.62 x 43.7 / Double mode: 36.2 x 29.1 x 43.7
- Folded: Single mode: 22. x 24.2 x 35.4 / Double mode: 20.4 x 30.7 x 35.4
Weight
- Single (seat): 33.7 lbs
- Single (bassinet): 35.9 lbs
- Double (bassinet + seat): 42.1 lbs
- Double/twin w/2 seats: 39.8 lbs
- Twin w/2 bassinets: 44.4 lbs
What's Included:
Your complete Bugaboo Donkey 6 Twin Complete stroller comes ready for the road ahead with twins and includes:
-
1 Stroller Base
Chassis with pre assembled grips, wheels, and wheel caps
-
2 Seats
Two complete seat sets including seat hardware, footrests, seat fabrics, carry handles, leather look grips, and five point safety harnesses -
2 Bassinets
2 sets of bassinet hardware and fabric with breezy panel for airflow and visibility, plus aerated mattress -
PureBreeze™ Mattresses
Dual sided with enhanced breathability for year round comfort -
2 Sun Canopies
Two full canopy sets with wires and clamps, UPF 50+ protection, and peek a boo panels -
Side Luggage Basket + Underseat Basket
The side basket allows you to switch back to Mono mode whenever needed.
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
4.4 ★★★★★
Based on 30 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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