Pay in installments of $6.12 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 19 - Jul 24
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
nuna fold stroller Nuna MIXX Next Stroller + PIPA Urbn Travel System – Baby & Kids 1stA next level travel system where innovative safety and first class luxury features combine into a stylish dream team that raises the bar on living a seamless baby life on the go. The Nuna PIPA urbn reimagines the future of travel with baby. This one of a kind, ultra lightweight infant car seat weighs only 7 pounds* and installs using the advanced pipaFIX rigid latch. This groundbreaking baseless installation feature is integrated into the car seat,
A next-level travel system where innovative safety and first-class luxury features combine into a stylish dream team that raises the bar on living a seamless baby life on the go.
The Nuna PIPA urbn reimagines the future of travel with baby. This one-of-a-kind, ultra-lightweight infant car seat weighs only 7 pounds* and installs using the advanced pipaFIX™ rigid latch. This groundbreaking baseless installation feature is integrated into the car seat, allowing for super secure installs in seconds when moving from car to taxi, to rideshare and offering a new generation of journeys. It also features a one-handed, quick release from stroller and vehicle and Nuna’s iconic Sky drape™ for ultimate privacy - so you and baby can navigate life with modern-day ease.
Feel free to pack up and go anywhere with the Nuna MIXX next stroller. It delivers a smooth ride you can maneuver with one hand and a convenient variety of riding modes for different ages and stages. The five position recline feature can be adjusted with one hand and offers baby the ultimate in customized comfort options. When done strolling, it packs away with a compact fold no matter which way the seat is facing. It is designed to effortlessly connect with the PIPA urbn to make baby life on the go so much easier.
Stroller features
- MagneTech secure snap™ is a self-guiding magnetic buckle that automatically locks into place
- Four modes: PIPA™ series infant car seat, bassinet, seat parent facing or world facing
- Ring adapter is included for an easy on/off one-click travel system
- Rear-wheel Free flex suspension™ and front-wheel progressive suspension technology
- Compact fold-away axle™ for a more compact fold
- Stands when folded
- A one-piece fuss-free, compact fold no matter which way the seat is facing
- All-season seat keeps baby comfy in winter and unsnaps to mesh in summer
- Removable two-piece bamboo blend fabric seat insert grows with baby
- No-rethread harness for easy adjustments
- Tough, rubber foam-filled tires are ready for any terrain
- One-touch, rear-wheel braking system is strong and responsive
- Easy to flip the seat and switch to bassinet or travel system modes
- Quick release five-point harness for secure strolling
- True-flat recline for newborn comfort
- Five position recline easily adjusts with one hand
- Adjustable calf support with integrated footrest promises a comfortable ride
- Super convenient, automatic quick-click fold lock and trolley function when folded
- Height-adjustable pushbar
- Smart and stately dark matte frame with chrome black wheels
- Luxe leatherette accented pushbar and armbar
- UPF 50+ canopy is water repellent and extendable and features a flip out eyeshade, ventilation panel and window
- Two compartment basket including secret zipper pocket
- Cell phone pocket on seat back
- Removable armbar fits kids of all sizes
- Pairs perfectly with all Nuna PIPA™ series infant car seats
Stroller specifications
- 45.3"H x 32.7"L x 23.6"W (open)
- 19"H x 27.5"L x 23.6"W (folded)
- 28.3 lbs. (without armbar and insert)
Recommended use
- birth to 50 lbs.
Car seat features
- 2-second* steel-reinforced pipaFIX™ rigid latch installation makes set up swift, simple and above all - safe
- Ultralight for on-the-go at just 7 lbs**
- Travel with ease with pipaFIX™ or vehicle seat belt- no base needed
- One-handed vehicle and stroller release for quick and easy in-and-outs
- Auto-reclining foot that aids in proper installations in vehicles
- European belt path for vehicle belt installations
- Aeroflex™ foam that is cleverly lightweight, resilient, and minimizes force transferred to baby by absorbing and diffusing energy
- Side Impact Protection for ultimate baby safe keeping
- Five-point harness keeps travels secure
- Sky drape™ pulls down smoothly and attaches quietly with magnets
- Full-coverage UPF 50+ canopy is extendable and features a flip-out eyeshade and XL peek-a-boo window
- From fabric to foam and beyond, each element is smartly sourced to be both flame resistant and contain no added fire-retardant chemicals
- Integrated magnetic buckle holders help keep straps out of the way when buckling baby in
- Head support 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, naturally controls moisture, and is environmentally friendly
- Machine washable seat fabrics and inserts
- Luxe leatherette carry handle for stylish journeys
- GREENGUARD Gold certified - products that have achieved GREENGUARD certification are scientifically proven to meet some of the world's most rigorous third-party chemical emissions standards, and certified to not contribute to indoor air pollution or chemical exposure
- FAA certified for aircraft use
- All installation types are baseless- no base needed
- Not compatible with PIPA™ series base or RELX™ base
- Set of included anchor guides make it easy to locate and install on the lower anchor bars in vehicle
Car seat specifications
- 22"H x 25"L x 17.5"W
- 7 lbs. (without insert and canopy)
Recommended use
- 4-22 lbs., less than 29"
What's in the box
- MIXX stroller
- MIXX car seat ring adapter
- Car Seat
- Anchor guides
*Refer to instructions for any final adjustments
**Weight excludes canopy and infant insert
***TENCEL™ is a trademark of Lenzing AG
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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]
- Please click here for more details>>> Return & Exchange Policy
4.6 ★★★★★
Based on 9 reviews
Sort
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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