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Description
nuna stokke car seat Nuna PIPA Aire Infant Car Seat + PIPA Series BaseWhy carry more when less is so much easier? Travel light, live easy. That's the PIPA aire ethos. Its light in your hands but heavy on security and all about breezy adventures so you can capture every opportunity. Effortlessly cool and endlessly reliable, the PIPA aire car seat is the go to gear for bringing a fresh, easy vibe to your journeys. This car seat is your passport to where protection goes portable. Embrace the trend of simplicity with this
Why carry more when less is so much easier?
Travel light, live easy. That's the PIPA aire ethos. It’s light in your hands but heavy on security and all about breezy adventures so you can capture every opportunity.
Effortlessly cool and endlessly reliable, the PIPA aire car seat is the go-to gear for bringing a fresh, easy vibe to your journeys. This car seat is your passport to where protection goes portable.
Embrace the trend of simplicity with this feather-light companion because it's not just about the trip. It’s about rewarding yourself and your family with the feel-good freedom of moving light and living easy.
Use
- The PIPA aire is both ultra-portable and seriously protective
- PIPA aire is the lightest in the PIPA series infant car seat lineup
- One-handed vehicle and stroller release for easy in an outs
- Fabrics and inserts are conveniently machine washable
- Belt path for vehicle belt installations
- FAA certified for aircraft use
- Connects with all Nuna strollers to create a stylish travel system*
Safety
- Features Aeroflex™ foam that is cleverly lightweight, resilient, and minimizes force transferred to baby
- Steel-reinforced True lock™ base installation makes set up swift, simple, and safe
- Side Impact Protection (SIP) for ultimate baby safe keeping
Comfort
- 5-point harness keeps baby’s travels secure
- Tailor tech™ memory foam headrest provides a comfortable custom fit
- Removable infant head and body inserts nestle baby in comfort and security
Premium materials
- UPF 50+ canopy with flip-out eyeshade protects from sun exposure
- The iconic Sky drape™ provides baby with ultimate privacy for quiet moments
- Luxe leatherette carry handle for more secure gripping
- Exposed aerospace aluminum handle adds a contemporary aesthetic and enhances the seat's intuitive functionality
- Soft yet durable micro-knit fabric for refined style and casual warmth
- From fabric to foam and beyond each element is smartly sourced to be both flame resistant and contain no added fire-retardant chemicals making it safer for baby
PIPA series base:
- 5-second install with two easy and instant steps**
- True lock™ rigid latch is 50% stronger than a typical belt latch
- Steel stability leg helps minimize forward rotation during impact by up to 90%***
- Colored installation indicators confirm correct connections to the vehicle and car seat to base
- Bubble level indicators help to minimize user error
- Super-resilient top-of-the-line plastics for a heavy duty, secure shell
- Anchor latch guides make it easy to locate and install on lower anchor bars
What's in the box:
- Car Seat
- PIPA series base
- Latch guides
Specifications
- Usage: 4 to 30 lbs, and 16-30 in
- Dimensions: 27.25"L x 17.5"W x 23"H
- True weight: 7.8 lbs.
*And their adapters
**Always refer to the product instruction manual. Under no circumstances should this information be used to replace the car seat instruction booklet.
***When compared to a system that is not using a stability leg
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Exchange/Return Notes
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4.1 ★★★★★
Based on 16 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.
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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.
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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