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Description
nuna stroller car seat combo Nuna Pipa Urbn FLEX System Stroller + Car SeatDid your favorite car seat just sprout wheels? Well, sort of. It's called meeting the moment. This all in one PIPA urbn flex system gets that parenting demands flexibility and that your gear needs to keep pace with the pivots. So it flexes with your day, transforming from a car seat to a stroller so you can go from parked to pushing and back again in seconds. Secure and seamless, the car seat latch system installs without a base or a trace. With
Did your favorite car seat just sprout wheels? Well, sort of. It's called meeting the moment.
This all-in-one PIPA urbn flex system gets that parenting demands flexibility and that your gear needs to keep pace with the pivots. So it flexes with your day, transforming from a car seat to a stroller so you can go from parked to pushing and back again in seconds.
Secure and seamless, the car seat latch system installs without a base or a trace. With carbon fiber strength and showroom-worthy style, the featherlight frame folds in a flash and looks anything but basic.
Best of all, it's built for years, not just months. No tricks. No trade-offs. Because smart parents want smart systems, not shortcuts or clunky compromises.
Smart car seat + stroller all-in-one system that takes you from parked to pushing in seconds.
Use
- Frame is ultra-lightweight at only 11.3 lbs
- Frame folds with the car seat ring adapter attached and stands on its own when folded
- Compatible with the SWIV™ & TRIV™ series bassinet, any PIPA series car seat, and the Flex system seat
- Car seat installs with ease using pipaFIX™ or vehicle seat belt—no base or dirty wheels
- 2-second steel-reinforced pipaFIX™ rigid latch installation makes set up swift, simple, and above all—safe
- (refer to instructions for any final adjustments)
- Car seat releases from vehicle with 1 hand for quick and easy in-and-outs
- Auto-reclining car seat foot aids in proper installation
- European belt path on car seat for vehicle belt installations
- Car seat is FAA certified for aircraft use
- Car seat is not compatible with PIPA series base or RELX™ base
- Child size: 4-30 lbs., 16"-29"
Security
- Quick-engaging 1-touch rear-wheel braking system on frame provides scuff-free security
- Aeroflex™ foam on the car seat is cleverly lightweight, resilient, and minimizes force transferred to baby by absorbing and diffusing energy
- Car seat features Side Impact Protection (SIP) for ultimate baby safekeeping
- 5-point harness on the car seat helps keep travels secure
Comfort
- All-wheel suspension and durable, never-flat tires on frame are ready for any terrain
- Full-coverage UPF 50+ canopy on car seat is extendable and features a flip-out eyeshade and XL peek-a-boo window
- Head support in car seat includes a 2-layer soft surround to accommodate smaller babies
- Infant head support and body inserts feature environmentally friendly Merino wool and TENCEL™ branded lyocell fiber blend that is soft and naturally moisture-wicking (TENCEL™ is a trademark of Lenzing AG)
Premium Details
- Large basket holds everything you need for the journey up to 22 lbs
- Tracking device pocket in the basket keeps tabs on it wherever you go
- Height-adjustable 3-position pivoting handle for comfortable strolling no matter your height
- Carbon fiber reinforced aluminum frame offers strength and durability with a lightweight profile
- Carbon fiber’s unique weave pattern on the frame creates a visually striking effect with a modern aesthetic
- Iconic Sky drape™ on car seat pulls down smoothly and attaches quietly with magnets
- Luxe leatherette accented pushbar adds style to your strolls
- Go hands-free and store frame away during travel with the included carry bag
- Car seat is ultralight for on-the-go at just 7 lbs (weight excludes canopy and infant insert)
- Carbon fiber reinforced aluminum carry handle offers lightweight strength and durability
- Carry handle is accented with luxe leatherette for stylish journeys
- Integrated magnetic buckle holders on the car seat help keep straps out of the way when buckling baby in
- Machine washable seat fabrics and inserts
- From fabric to foam and beyond, each element of the car seat is smartly sourced to be both flame resistant and contain no added fire-retardant chemicals
- Set of included car seat latch guides make the lower anchor bars in your vehicle more visible and accessible for easier installs
- Smart car seat + stroller all-in-one system
Stroller
- Carbon fiber reinforced aluminum frame
- Sleek carbon fiber weave pattern
- Ultra-lightweight and durable
- Height-adjustable 3-position pivoting handle
- 1-hand compact fold
- Stands when folded
- Folds with adapter
- Luxe leatherette pushbar
- Birth to 50 lbs
- Large puncture-proof tires
- 1-touch rear-wheel brakes
- All-wheel suspension
- Large basket holds up to 22 lbs
- Tracking device pocket
- Carry bag included
- Compatible with the SWIV™ + TRIV™ series bassinet, any PIPA series car seat, and the Flex system seat
Car seat
- Base-free installs
- Installs in seconds
- Vehicle belt install option
- Carbon fiber reinforced aluminum carry handle
- Sleek carbon fiber weave pattern
- Ultra-lightweight for on-the-go
- Iconic Sky drape™
- Extendable UPF 50+ canopy
- XL peek-a-boo window
- Auto-reclining foot
- 5-point harness
- 1-handed vehicle and stroller release
- SIP and Aeroflex™ foam
- Merino wool headrest and body insert
- Machine washable fabrics
- FR-free from fabric to foam and beyond
- Integrated magnetic buckle holders
- Luxe leatherette accents
- FAA certified for aircraft use
- Included car seat latch guides
What's in the box
- PIPA urbn
- Flex system stroller frame
- Flex system stroller frame carry bag
- Folding ring adapter
- Latch guides
Specifications
- Stroller dimensions (in use): 43.5"H x 37"L x 21.5"W
- Stroller dimensions (folded): 29.3"H x 23"L x 21.5"W
- Stroller weight (frame + adapter): 11.3 lbs
- Stroller weight (frame only): 8.5 lbs.
- Car seat dimensions: 22"H x 25"L x 17.5"H
- Car seat weight (with canopy and inserts): 9 lbs.
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- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
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4.4 ★★★★★
Based on 5 reviews
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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.
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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
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