SKU: 39645159885

Ultimate Guard Deck Box - Boulder 100+ MTG Guild Summit Simic

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Description

Ultimate Guard Deck Box - Boulder 100+ MTG Guild Summit SimicUltimate Guard pays a visit to one of the most beloved planes in Magic: The Gatherings multiverse and proudly presents the Ravnica inspired Guild Summit series. This officially licensed product line includes ten elegant Boulder 100+, a stunning Arkhive 1000+ Xenoskin (for the first time available in this size and with a fully removable lid), as well as a high quality Play Mat with stitched edges. Ultimate Guard celebrates one of the most iconic and

Ultimate Guard pays a visit to one of the most beloved planes in Magic: The Gathering’s multiverse and proudly presents the Ravnica-inspired “Guild Summit” series. This officially licensed product line includes ten elegant Boulder 100+, a stunning Arkhive 1000+ Xenoskin (for the first time available in this size and with a fully removable lid), as well as a high-quality Play-Mat with stitched edges.


Ultimate Guard celebrates one of the most iconic and popular planes in Magic: The Gathering’s history with the “Guild Summit” series: Ten elegant Boulder 100+ featuring the golden crest of each guild on the semi-transparent deck boxes, all with a silky soft-touch finish. The Boulder 100+ holds up to 100 double-sleeved cards, making it the perfect home for your two-color Commander deck! Don’t miss out on the stunning Arkhive 1000+ Xenoskin from the “Guild Summit” series either, which is the perfect storage place for up to ten Boulder 100+.


Features:

  • Officially licensed Magic: The Gathering artwork
  • Designed for 100 double-sleeved or 120 single-sleeved cards in Ultimate Guard Sleeves
  • Durable and vibrant full colour print
  • Made in Germany from 78% renewable resources
  • Packaging made of 100% recycled and further recyclable material
Shipping Notes
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Exchange/Return Notes
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  • 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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SKU: 39645159885

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4.6 ★★★★★
Based on 22 reviews
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Z
Verified Purchase
Zay
Massapequa, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
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Rory Derrick
West Palm Beach, US
★★★★★ 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
C
Verified Purchase
Cory P.
Waukegan, US
★★★★★ 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
F
Verified Purchase
Frank Gonzalez
Chelsea, US
★★★★★ 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
I
Ira Laefsky
Draper, US
★★★★★ 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

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