22 julio, 2026
21 julio, 2026
Everyday Food: Fresh Flavor Fast: 250 Easy, Delicious Recipes for Any Tim - GOOD Product Id:0307405109 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
21 julio, 2026
Everyday Food: Fresh Flavor Fast: 250 Easy, Delicious Recipes for Any Tim - GOOD Product Id:0307405109 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
21 julio, 2026
The Plant Paradox Cookbook - Hardcover By Gundry, Steven R., M.D. - GOOD Product Id:0062843370 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
20 julio, 2026
The 48 Laws of Power by Robert Greene. - Gilded gold-edged pages on all three sides. - Hidden lenticular illustration — portraits of Robert Greene and Machiavelli appear when fanning the pages from different angles (incredible detail, photos show the effect).
20 julio, 2026
"Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB" is a textbook written by Martin Kleppmann and published by O'Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.
20 julio, 2026
"Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by Martin Kleppmann is a comprehensive textbook published by O'Reilly Media in 2017. The book covers topics in data modeling and design, focusing on how to build reliable and scalable desktop applications with databases. With 614 pages, this trade paperback is a valuable resource for anyone looking to learn about designing data-intensive applications in a practical and informative manner.
20 julio, 2026
Causality: Models, Reasoning and Inference. by Pearl, Judea.

