SKU: 52140894497
bugaboo sg

bugaboo sg Bugaboo Butterfly Complete Lightweight Stroller

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Description

bugaboo sg Bugaboo Butterfly Complete Lightweight StrollerMeet the Bugaboo Butterfly Stroller, your perfect companion for urban adventures and travel. This ultra compact stroller folds and unfolds in just one second, giving you total freedom to navigate city streets or pack up quickly for a weekend getaway. Lightweight, easy to maneuver, and incredibly sturdy, the Bugaboo Butterfly is designed for your growing child and your on the go lifestyle. Lightweight Design: Bugaboo Butterfly Weight Weighing just 7. 3

Meet the Bugaboo Butterfly Stroller, your perfect companion for urban adventures and travel. This ultra-compact stroller folds and unfolds in just one second, giving you total freedom to navigate city streets or pack up quickly for a weekend getaway. Lightweight, easy to maneuver, and incredibly sturdy, the Bugaboo Butterfly is designed for your growing child and your on-the-go lifestyle.

Lightweight Design: Bugaboo Butterfly Weight

Weighing just 7.3 kg (16.09 lbs), the Bugaboo Butterfly is one of the lightest compact strollers available, including the leg rest, carry strap, and seat inlay. Despite its low weight, it offers superior stability and durability, perfect for parents who want the best of both worlds—light to carry, yet robust enough for everyday use.

Age Range: How Old Is the Bugaboo Butterfly For?

This stroller is designed to grow with your child, accommodating babies from 6 months to approximately 4 years old, with a maximum weight capacity of 22 kg (48.50 lbs). It’s ideal for toddlers who are ready to explore the world with you.

Superior Comfort: Bugaboo Butterfly Recline and 4-Wheel Suspension

The one-hand recline feature offers a range of positions (30°–143°) so that your baby can nap comfortably or sit up and enjoy the ride. The adjustable leg rest also adds to the comfort, whether your little one is sleeping or playing.

You’ll also enjoy smooth handling for any terrain. Bugaboo Butterfly’s 4-wheel suspension means your little one will enjoy a gentle, comfortable ride over bumpy city streets, curbs, and uneven surfaces. Despite its compact size, the stroller is designed for easy maneuverability—even a light push gets you rolling effortlessly.

The Perfect Travel Stroller: Bugaboo Butterfly Can Go on a Plane!

Yes! The Bugaboo Butterfly is IATA-compatible, which means it’s designed to fit in overhead compartments on most airlines. Its folded dimensions (45 x 23 x 54 cm) make it easy to store in tight spaces, whether on a plane or in a car trunk, allowing for stress-free travel.

What’s Included With the Bugaboo Butterfly Stroller

Your Bugaboo Butterfly comes with everything you need for a smooth ride:

  • Chassis with Wheels: Pre-assembled and ready to go.
  • Spacious Underseat Basket: Holds up to 8 kg (17.64 lbs) with easy access from the front and rear.
  • Base Fabric Set and Sun Canopy: A large 4-panel sun canopy with a breezy panel for ventilation.
  • Integrated Leg Rest: Adjustable in 5 positions for extra comfort.
  • Seat Inlay: Padded for a cozy, secure ride.
  • Carry Strap: For hands-free carrying on the go.
  • Rain Cover: Protects your little one from unexpected weather.
  • Add-Ons: Bugaboo Butterfly Accessories

Enhance your stroller with these optional accessories:

Care Instructions: Bugaboo Butterfly Is Easy to Maintain

Keep your Bugaboo Butterfly looking and feeling like new with easy-to-follow care instructions. The seat inlay, underseat basket, and carry strap fabrics are machine washable at 30°C (86°F), while the base seat fabric should be hand washed.

Bugaboo Butterfly Review and Reddit Feedback

Parents rave about the Bugaboo Butterfly for its unbeatable convenience, lightweight design, and comfortable ride. With thousands of positive reviews online and discussions on platforms like Reddit, it’s clear that this stroller is a fan-favorite for busy parents. With the Bugaboo Butterfly Stroller, you’re ready to take on the world—one adventure at a time. Lightweight, compact, and designed with both you and your baby’s comfort in mind, this stroller is perfect for parents on the move.

Looking for a Bugaboo Butterfly Sale or Bugaboo Butterfly Open Box Deals?

Check out the ANB Baby Sale page to see what’s currently available!

See the BUGABOO Collection

See Related Article: Float Like a Butterfly! Bugaboo's Newest Compact Lightweight Stroller 

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SKU: 52140894497

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Hashi Hanta
Omaha, US
★★★★★ 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.
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Reviewed in the United States on February 14, 2019
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Carol
Chelsea, 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.
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Reviewed in the United States on November 24, 2019
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Lexington, 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.
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Reviewed in the United States on April 1, 2019
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Par
Lowell, 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.
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Reviewed in the United States on December 20, 2024
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Richard Hackathorn
Grantham, 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.
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Reviewed in the United States on February 26, 2022

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