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Description
all in one stroller car seat combo Nuna Demi Next + PIPA urbn Travel System - Caviar - Premium Stroller & InfaIntroducing the NUNA Demi Next + PIPA urbn Travel System. Meet the PIPA urbn and DEMI nextnot just a travel system but a lifestyle upgrade for the modern family. Crafted for the confident parent who demands the best, the DEMI next stroller is a statement in style, comfort, and convenience. It grows with possibilities, providing everything you need and more. The PIPA urbn infant car seat pairs seamlessly with the DEMI next and redefines travel with its
Introducing the NUNA Demi Next + PIPA urbn Travel System. Meet the PIPA urbn and DEMI next–not just a travel system but a lifestyle upgrade for the modern family. Crafted for the confident parent who demands the best, the DEMI next stroller is a statement in style, comfort, and convenience. It grows with possibilities, providing everything you need and more. The PIPA urbn infant car seat pairs seamlessly with the DEMI next and redefines travel with its baseless installation, ensuring secure transitions in seconds. Elevate your family's journey with the ultimate fusion of style, security, innovation, and comfort– because every day is an adventure, and you and your baby deserve the very best.
The PIPA urbn is the only baseless infant car seat with pipaFIX™ rigid latch that can install in seconds, all while weighing in at an ultralight 7 pounds. The DEMI next is a premium stroller with a rider board accessory that is a master of motion intuitively designed to level up with 25+ modes of riding possibilities. Together, they're not just a travel system but a lifestyle upgrade for the modern family.
Recommended Usage
- Demi Next Stroller - Birth to 50 lbs When using the stroller frame with the bassinet or infant carrier, refer to the child usage requirements listed in those instruction manuals.
- Pipa urbn - 4-22 lbs less than 29 in.
NUNA PIPA urbn 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
- * Refer to instructions for any final adjustments
- **Weight excludes canopy and infant insert
- ***TENCEL™ is a trademark of Lenzing AG
DEMI Next Features
- 25+ modes–convert from a single stroller to a double or twin and use the included rider board or sibling seat accessory (sold separately)
- Super easy to fold, flip the seat, or convert to bassinet or car seat mode
- Four recline positions and an upright backrest angle for just-right rides
- Easily adjust recline with just one hand
- Forward and rear-facing seat options
- One-touch rear-wheel braking system for scuff-free shoe control
- Custom dual suspension™ provides a nice, smooth ride
- Wide, swivel-lock front wheels make it a master of smooth riding motion
- One-hand adjustable calf support and footrest to accommodate growth
- Self-guiding MagneTech secure snap™ buckles automatically lock into place
- Quick-release 3 to 5-point harness makes it easy to fasten them in
- Fenders and built-in hubcaps protect from dirt and debris
- Easily removable premium Merino wool insert provides ultra-soft comfort
- Eye-to-eye connection is easier with the elevated seat level
- Rotating and removable armbar fits kids of all sizes
- Water-repellent UPF 50+ Aire protect canopy™ protects from the elements
- Built-in privacy drape and ventilation panels in the canopy for ideal airflow
- All-season seat keeps baby cozy in winter and easily converts to mesh in summer
- Tires are tough, foam-filled, and ready for any terrain
- No-rethread harness makes it easy to adjust for comfort and growth
- Large basket with 22 lb capacity holds everything you need for the journey
- Adjustable pushbar with luxe leatherette accents to accommodate varying heights
- Included rain cover for when the weather doesn't cooperate
- Compatible with the DEMI next sibling seat and DEMI next bassinet Rider board
- Creates more riding options for family travels made easy
- Cleverly positions your child between your arms for closeness
- Easily attaches to the stroller's lower seat mounts
- Two swivel wheels for easy maneuvering
- Holds up to 50 lbs
- Flips into the stroller basket when not in use
- Folds with stroller
Weight
- PIPA urban - 7 lbs ( without insert and canopy )
- Mixx Next Stroller - 26 lbs ( Without insert, canopy, armbar, or rider board )
What's Included?
- PIPA URBN includes anchor guides
- DEMI Next incldues Rider board, Ring adapter, Car seat post adapters, Rain cover, & Fenders
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]
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4.5 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on February 26, 2022
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
★★★★★ 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