USA - Der Südwesten (CALVENDO Wandkalender 2027)
SKU: 53732374503

USA - Der Südwesten (CALVENDO Wandkalender 2027)

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USA - Der Südwesten (CALVENDO Wandkalender 2027)Atemberaubende Aufnahmen der abwechslungreichen Landschaft im Sdwesten der USA. (Monatskalender, 14 Seiten) Der Sdwesten der USA mit seinen abwechslungsreichen Landschaften und Nationalparks bietet fr jeden etwas atemberaubende Weiten am Grand Canyon, rote Felsen in Utah oder schroffe Kste in Kalifornien. Holen Sie sich mit diesem Kalender ein Stck Amerika nach Hause, ein ganzes Jahr voller faszinierender Natur Aufnahmen aus den schnsten Ecken im

Atemberaubende Aufnahmen der abwechslungreichen Landschaft im Südwesten der USA. (Monatskalender, 14 Seiten)

Der Südwesten der USA mit seinen abwechslungsreichen Landschaften und Nationalparks bietet für jeden etwas - atemberaubende Weiten am Grand Canyon, rote Felsen in Utah oder schroffe Küste in Kalifornien. Holen Sie sich mit diesem Kalender ein Stück Amerika nach Hause, ein ganzes Jahr voller faszinierender Natur-Aufnahmen aus den schönsten Ecken im Südwesten. Auch ein perfektes Geschenk für USA-Liebhaber und alle, die es noch werden wollen.

Hochwertiger Kalender mit 12 wunderschönen Bildern. Unsere Umwelt liegt uns am Herzen. Daher vermeiden wir Überproduktion und somit deutliche Abfallmengen, da wir bedarfsgerecht in Einzelfertigung in Europa produzieren. Wir halten unsere Transportwege kurz und sorgen für eine klimabewusste Logistik.

14 Seiten bestehend aus 1 Cover | 12 Monatsseiten | 1 Indexseite

Dieser erfolgreiche Kalender wurde dieses Jahr mit gleichen Bildern und aktualisiertem Kalendarium wiederveröffentlicht.

Abbildungen:
Januar: Canyonlands National Park - Mesa Arch
Februar: Joshua Tree National Park
März: Page - Lower Antelope Canyon
April: Yosemite National Park
Mai: Monument Valley
Juni: Arches National Park - Delicate Arch
Juli: Grand Canyon - South Rim
August: Highway 1 - Bixby Creek Bridge
September: Zion National Park - Angels Landing
Oktober: Golden Gate Bridge, San Francisco
November: Bryce Canyon National Park
Dezember: Yellowstone National Park

  • QUALITÄT - Hochwertiger Fotokalender mit 12 wunderschönen Motiven auf lichtbeständigem Bilderdruckpapier, robuste Spiralbindung mit Aufhängebügel (A5 mit Tischaufsteller).
  • NACHHALTIG - deutliche Abfallreduzierung durch bedarfsgerechte Einzelstückfertigung, Produktion in Europa und klimabewusste Logistik.
  • PERFEKTES GESCHENK – Kalender für Freunde und Familie, für Kinder und Erwachsene, jung und alt, zu Weihnachten, Geburtstag oder zwischendurch.
  • Atemberaubende Aufnahmen der abwechslungreichen Landschaft im Südwesten der USA. von Autor(in): Natalie Maertens
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SKU: 53732374503

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4.6 ★★★★★
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Product Reviews
E
eyal Fishman
Charlottesville, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Pawtucket, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Pawtucket, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Houston, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Alexandria, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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