SKU: 35451708990
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bugaboo promotion Bugaboo Donkey 6 Double Stroller Black/Cocoa Brown-Cocoa Brown

Sale price$21.65 Regular price$24.06
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Description

bugaboo promotion Bugaboo Donkey 6 Double Stroller Black/Cocoa Brown-Cocoa BrownThe go anywhere convertible stroller that truly carries it all. The Bugaboo Donkey 6 Duo Complete is built to grow with your family, from single to double, while offering unmatched storage and smooth handling across any terrain. Large puncture proof wheels and a tight turning radius make it easy to steer one handed, even when fully loaded with kids and groceries. Despite its impressive capacity, the Donkey 6 keeps a slim profile at just 23. 6 inches

The go anywhere convertible stroller that truly carries it all. The Bugaboo Donkey 6 Duo Complete is built to grow with your family, from single to double, while offering unmatched storage and smooth handling across any terrain.

Large puncture proof wheels and a tight turning radius make it easy to steer one handed, even when fully loaded with kids and groceries. Despite its impressive capacity, the Donkey 6 keeps a slim profile at just 23.6 inches wide in single mode, as narrow as a typical full size stroller. In double mode, it measures 29.1 inches and still fits through standard doorways.

Storage is where it truly shines. The underseat basket is now 50 percent larger, holding up to 33 pounds or 70 liters. The redesigned side luggage basket doubles as a changing bag, keeping essentials within reach. In single mode, it carries up to 22 pounds on the chassis. In double mode, it secures to the handlebar and holds up to 8.8 pounds.

Crafted for superior comfort, the Donkey 6 also introduces 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.

Dimensions

  • Single (seat): 34.2" x 23.6" x 43.7"

  • Double (bassinet): 36.2" x 29.1" x 43.7"

  • Folded (2 piece): 35.04" x 23.62" x 13.78"

  • Folded (1 piece): 22" x 24.2" x 35.4"

Weight

  • Single (seat): 33.7 lbs

  • Single (bassinet): 35.9 lbs

  • Double (bassinet + seat): 42.1 lbs

Warranty

  • 2 year warranty

  • Extended to 4 years with product registration

What's Included:

Your complete Bugaboo Donkey 6 Duo Complete stroller comes ready for the road ahead 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
  • 1 Bassinet
    Bassinet hardware and fabric with breezy panel for airflow and visibility, plus aerated mattress
  • 1 PureBreeze™ Mattress
    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:
  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]
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SKU: 35451708990

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Amazon Customer
West Palm Beach, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Port Orchard, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Tommy Jonsson
Draper, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Moses Kayanda
Chelsea, 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.
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Reviewed in the United States on March 1, 2022
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Verified Purchase
Gabe Rigall
Fort Morgan, 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.
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Reviewed in the United States on February 26, 2022

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