SKU: 67555127401
numa double stroller

numa double stroller TRVL DUBL Stroller

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Description

numa double stroller TRVL DUBL StrollerNuna's TRVL Dubl is a side by side double stroller that fits through standard doorways and features independent seats to suit each child's needs for twice the adventures. Nothing about being a parent is what it seems. It's magical, scary, overwhelming, and full of changesidentity, style, body, work, travel. As your tribe grows, the answer to "What am I forgetting?" often becomes "Ah yes, myself!" Then, you begin to recognize the importance of self

Nuna's TRVL Dubl is a side-by-side double stroller that fits through standard doorways and features independent seats to suit each child's needs for twice the adventures. 

Nothing about being a parent is what it seems. It's magical, scary, overwhelming, and full of changes—identity, style, body, work, travel. As your tribe grows, the answer to "What am I forgetting?" often becomes "Ah yes, myself!" Then, you begin to recognize the importance of self-care and embracing parenthood on your own terms.

Meet your new superpower, the TRVL Dubl Stroller by Nuna. This side-by-side double stroller becomes your lifeline, easily integrating into the multiplying demands of your day. The TRVL Dubl Stroller by Nuna glides through doorways, navigates narrow spaces, and brings your two little explorers closer together for the journey.

Because life doesn't have to slow down when your family expands, the fun just doubles.

Use:

  • Comfortably seats two children side-by-side from birth up to 50 lbs per seat
  • Travel system ready—attach any PIPA™ series infant car seat to the wider seat without an adapter (please note: the stroller only fits one car seat)
  • Removable and rotating armbar spans across both seats for easier ins and outs
  • Folds easily with 1 hand and stands on its own when folded
  • At 25.2 lbs it's lightweight for a double and easy to tote with armbar when folded

Safety:

  • Self-guiding MagneTech secure snap™ buckles automatically lock into place
  • 3 to 5-point no-rethread harness makes it easy to fasten them in
  • Quick-engaging 1-touch rear-wheel braking system provides scuff-free security
  • Front swivel wheels with swivel locks for more comfortable strolls on uneven terrain

Comfort:

  • Seats and canopies are completely independent of one another for customized strolls for two
  • Shadow Reel recline™ provides 1-handed independent recline adjustments with a more upright option
  • Near flat recline and calf support that raises to convert seats to a carriage position for keeping the littlest babies extra cozy
  • UPF 50+ water-repellent canopies are extendable and feature a flip-out eyeshade and peek-a-boo window
  • Durable footrest provides a resting place for tired feet
  • 2-position adjustable calf support for growing legs

Premium details:

  • Slender enough to fit through standard doorways and narrow aisles for convenience without compromise
  • At 30.5 in wide it meets the size and design requirements set by various amusement parks and is Disney-compliant (Check park guidelines for restrictions)
  • Exceptional maneuverability makes it a dream to push and turn even with two
  • All-wheel suspension and durable EVA foam-filled tires are ready for any terrain
  • Easy access extra-large storage basket holds up to 22 lbs
  • Luxe leatherette accented pushbar and removable armbar lend style to your stroll
  • Included rain cover for when the weather doesn't cooperate

Technical features:

  • Independently adjustable Shadow Reel recline™
  • Adjustable calf support with integrated footrest
  • All-wheel suspension"

Materials: Aluminum, Plastic, Polyester, Steel

Wheels: EVA foam-filled tires front and rear

Dimensions:

Open product: 45" x 37.5" x 30.5"    

Folded product: 27.75" x 19.75" x 30.5"

Weight: 25.2 lbs

Recommended usage: Up to 50 lbs per seat

What's in the package: TRVL dubl Stroller; Rain cover

Accessories sold separately: Sling bag, TRVL series cup holder, Diaper bag, Winter stroller set

Care tips: Easy to clean. Wash in cold water, delicate cycle. Do not bleach. Do not tumble dry. Drip dry. Do not iron. Do not dry clean

 

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SKU: 67555127401

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4.1 ★★★★★
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A
Verified Purchase
Amazon Customer
Grantham, 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
K
Verified Purchase
Kindle Customer
Charlottesville, 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
T
Verified Purchase
Tommy Jonsson
New York, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Battle Creek, 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
Los Angeles, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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