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Description
compact jogging stroller travel system TRVL LX Nuna Stroller GraniteThe Nuna TRVL lx + PIPA RX Compact Travel System is a great NUNA travel system that pairs the popular NUNA TRVL LX Compact Stroller & the NUNA PIPA RX Car Seat. First travels, relaxed rides Its a brand new world for them. Your world has forever changed. Enjoy every magical moment with the NUNA PIPA rx, a car seat bringing such comfort to your baby, youll feel it too. The NUNA PIPA rx Infant Car Seat + RELX Base is ideal for city living and taxis as it
The Nuna TRVL lx + PIPA RX Compact Travel System is a great NUNA travel system that pairs the popular NUNA TRVL LX Compact Stroller & the NUNA PIPA RX Car Seat.
First travels, relaxed rides It’s a brand new world for them. Your world has forever changed. Enjoy every magical moment with the NUNA PIPA rx, a car seat bringing such comfort to your baby, you’ll feel it too. The NUNA PIPA rx Infant Car Seat + RELX Base is ideal for city living and taxis as it can be installed with a vehicle seat belt—no base needed
It starts with a full-coverage canopy with pull-out Dream drape™ attaching silently with magnets and keeping them shaded. Then there’s the soft, organic jersey insert with two removable pieces for their customized comfort as they grow. Install easily in a cab directly using the belt path on the shell—no base necessary—or in the family car with the RELX base, featuring on-the-go recline.
Equal in versatility and safety, PIPA rx is fashioned solely from materials that are free of fire retardant additives. Give them—and yourself—a good start on the journey.
Recommended Usage: 4 to 32 lbs, and up to 32 in
PIPA RX FEATURES
- From fabric to foam and beyond, each element is smartly sourced to be both flame resistant and contain no added fire retardant chemicals
- Removable, full coverage UPF 50+ canopy with flip out eyeshade
- Dream drape™ pulls down smoothly and attaches quietly with magnets. Because nothing beats a lovely, uninterrupted nap.
- Side impact protection for ultimate baby safe keeping
- Organic jersey insert
- Integrated harness holders help when buckling baby in
- Luxe leatherette accented carry handle. Tote elegantly with ease.
- Five point harness keeps little ones in place
- Two-piece removable infant insert + head support. Customize to their individual shape and get a perfect fit right from birth.
- Mesh peek-a-boo window in canopy
- Ideal for city living and taxis as it can be installed with a vehicle seat belt—no base needed
- Heavy duty shell is super resilient yet lightweight
- Lightweight carry handle is ergonomically designed to tote with ease
- Connects with all Nuna strollers to create a tasteful travel system
- Aircraft certified
RELX base FEATURES
- True lock™ installation makes set up swift, simple and above all – safe
- 5 second install
- Crumple zone within the stability leg absorbs impact and minimizes force transferred to baby
- Colored installation indicators confirm correct connections to the vehicle.
- 4 positions on-the-fly recline
- Bubble free recline angle guides clearly confirm the perfect riding angle
- Low profile base for easier loading of infant seat
- Open belt bath for easier install
- Belt guides • anti rebound panel
- Automatic rigid latch storage
- Extra convenient load leg storage with lock
- Steel reinforced true lock™ rigid latch
- 4 position adjustable rigid latch to remove or reduce the gap between vehicle seat and base
- Locking 3 piece steel stability leg has a wide range of adjustment to fit most vehicles including middle seats
- Seat belt lock off with separate lap and belt paths
- Indicators on rigid latch turn green when clicked to vehicle anchor points
- Indicators on stability leg turn green when in proper contact with vehicle floor
NUNA TRVL LX Ease of Use Features
- In it for the long haul providing smooth strolls from birth to 50 lbs
- Near flat recline and calf support that raises to convert seat to a carriage position for keeping baby extra cozy
- Creates a sleek-looking travel system connecting directly with Nuna PIPA™ series car seats with just a click—no adapters needed
- Folds easily with one hand and stands on its own when folded
- Ultra-lightweight and easy to tote with carry bag or armbar when folded
- One-handed steering and exceptional maneuverability make it a dream to push and turn
- Front swivel wheels with swivel locks for more comfortable strolls on uneven terrain
- Quick-release wheels make for an even more compact fold
NUNA TRVL LX Safety Features
- Simple one-touch rear-wheel braking system
- The 3 to 5-point no-rethread harness makes it easy to fasten them in
NUNA TRVL LX Comfort features
- Shadow reel recline provides one-handed, customizable recline adjustments with more upright options
- MagneTech secure snap™ is a self-guiding magnetic buckle that automatically locks into place
- Water-repellent UPF 50+ canopy is easy to clean and provides premium coverage and multiple windows
- Canopy extends and features airy mesh panels to provide extra comfort for sunny days and warm temps
- Progressive front and rear-wheel suspension technology provides a smooth ride
- Removable and rotating armbar fits kids of all sizes
- A 2-position adjustable calf support for growing legs
NUNA TRVL LX Premium details
- Go hands-free and store away during travel with the included carry bag
- Luxe leatherette accented pushbar and armbar lend style to your strolls
- Never-flat airless tires are ready to go for miles
- Easy access shopping basket holds everything you need for the journey
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- Free Standard Shipping on $100+ Orders to the USA.
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4.0 ★★★★★
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Product Reviews
★★★★★ 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.
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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