weight of bugaboo fox 2 Bugaboo Kangaroo 2-in-1 Double Stroller – Baby Grand
SKU: 25758599092
weight of bugaboo fox 2

weight of bugaboo fox 2 Bugaboo Kangaroo 2-in-1 Double Stroller – Baby Grand

Sale price$25.86 Regular price$28.73
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Description

weight of bugaboo fox 2 Bugaboo Kangaroo 2-in-1 Double Stroller – Baby GrandThe Bugaboo Kangaroo is the single to double stroller that adapts to your family. Choose to ride with one, two, or three kids by using dedicated accessories. Featuring extra large wheels and one hand fold for an effortless ride on any terrain. Bugaboo Kangaroo Features Extra large, puncture proof wheels for all terrains Optimal front wheel suspension system for smooth strolls with one, two, or three kids Easily convert from single to double mode by

The Bugaboo Kangaroo is the single-to-double stroller that adapts to your family. Choose to ride with one, two, or three kids by using dedicated accessories. Featuring extra-large wheels and one-hand fold for an effortless ride on any terrain.

Bugaboo Kangaroo Features

  • Extra-large, puncture-proof wheels for all terrains
  • Optimal front-wheel suspension system for smooth strolls with one, two, or three kids
  • Easily convert from single to double mode by adding a Bugaboo sibling seat
  • One-hand fold with a self-standing design for easy storage and transport
  • One hand to adjust the handlebar and recline the seat
  • Extra-large underseat basket carries 13 kg/28.6 lbs
  • Breezy pram with antibacterial protection on aerated mattress
  • Large extendable sun canopy with UPF 50+ protection and peek-a-boo panel
  • Compatible with infant car seats from Bugaboo Turtle, Nuna, Clek, Maxi Cosi and Cybex (adapters needed)
  • Add the Bugaboo comfort wheeled board to bring a third kid along

Details


  • In the box: the complete Kangaroo stroller including sun canopy and bassinet
  • Unfolded: 39.4”L x 24.4”W x 44.5”H
  • Folded: 36”L x 21”W x 14”H
  • Stroller weight: 24.5 lbs
  • Child weight: birth to 50 lbs, up to 42”
  • Holds up to three with the additional purchase of the Bugaboo Sibling Seat and/or Bugaboo wheeled board
  • Accommodates up to 40 lbs in the second seat
  • Choose from over 20 configurations by adding the Bugaboo sibling seat, the Bugaboo Kangaroo upper newborn adapter, a Bugaboo car seat, and the Bugaboo comfort wheeled board (all sold separately)
  • Oversized wheels for comfort and smooth rides on any terrain
  • Spacious, extra-large underseat basket
  • Easy to maneuver with one hand
  • Breezy bassinet with antibacterial protection
  • Effortless, one-hand fold
  • Adjustable footrest for optimal comfort
  • Height-adjustable, extendable sun canopy featuring a breezy panel
  • Manufacturer’s warranty: 4 years
  • Certified B Corp: Bugaboo meets high standards of social and environmental impact, ensuring sustainability and ethical business practices

 

 

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SKU: 25758599092

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Scott J. Pearson
Waukegan, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
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Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
San Leandro, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Bozeman, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
M
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Matt B
Battle Creek, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
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SR
Waukegan, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024

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