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Description
Buffalo Plaid Check Red White Heart Travel Duffel Bags Travel Weekender Gear Bag with Toiletry Bag for Trip FoldableBrand: Amooorous Color: buffalo plaid check red white heart Features: Portable & Lightweight: Our Travel Duffel Bags is made with waterproof and tear resistant polyester, and wear resistant. These overnight bag measures 17. 3 x 8. 6 x 15. 6 inches, makeup bag measures 7 x 3 x 5 inches, meets most airline personal items carry on limits. Travel Easily : Its exterior pocket offers quick access to items like tickets or passport. Allowing you to get them
Brand: Amooorous
Color: buffalo plaid check red white heart
Features:
- Portable & Lightweight: Our Travel Duffel Bags is made with waterproof and tear-resistant polyester, and wear-resistant. These overnight bag measures 17.3 x 8.6 x 15.6 inches, makeup bag measures 7 x 3 x 5 inches, meets most airline personal items carry on limits.
- Travel Easily : Its exterior pocket offers quick access to items like tickets or passport. Allowing you to get them out esaily when passing airport security. There is a luggage strap on travel duffel bag. which can make travel bag fix on suitcase firmly. And free your hands!
- High Quality. travel bag is made of 100 percent polyester fabric. which is tear-resistant. sturdy and adjustable straps. Smooth zippers. No any worry any ripping or break during trips.
- Travel-Friendly Design: Gym Bag is perfectly aligned with flight regulations and carry-on requirements of major airlines. It can be placed aircraft overhead cabin and under seat for easy accessibility. back sleeve allows it to be attached to suitcase, freeing your hands.
- Wide Application & Personalized Gifts: This is a professional carry-on overnight bag specially designed for women. Personal Item Travel Bag can be a travel bag, sports bag, yoga bag, mommy bag, hospital bag, weekend bag, and gym bag. Or even perfect as a gift to friends, teachers, family, wife, women, birthday, Mothers's Day gifts, Valentine's Day, Christmas Day, etc.
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4.2 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021