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Literatura Contemporánea, Técnica y Científica

En este espacio podrás encontrar y compartir cualquier obra literaria desde el siglo XIX hasta nuestros días. Todos los géneros del periodo, sin distinción, aquí.

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  1. Papelera

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165,026 topics in this forum

  1. Death in the Secular City A Study of the Notion of Life after Death

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  2. Dear Mom A Sniper's Vietnam

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    • 147 views

  3. Dear Miss Perkins A Story of Frances Perkins's Efforts to Aid Refugees from Nazi Germany

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    • 98 views

  4. De Gruyter Handbook of Media Technology and Innovation

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  5. De Gruyter Handbook of Drone Warfare

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    • 125 views

  6. DC Comics Year By Year, New Edition A Visual Chronicle

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    • 117 views

  7. Days of a Russian Noblewoman The Memories of Anna Labzina, 1758-1821

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    • 93 views

  8. Daydreaming in the Solar System Surfing Saturn's Rings, Golfing on the Moon, and Other Adventures in Space Exploration

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    • 35 views

  9. Dawn's Early Light Taking Back Washington to Save America

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    • 103 views

  10. David Lynch's American Dreamscape Music, Literature, Cinema

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    • 174 views

  11. Databricks ML in Action Learn how Databricks supports the entire ML lifecycle end to end from data ingestion

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    • 52 views

  12. Databricks Data Intelligence Platform Unlocking the GenAI Revolution

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    • 33 views

  13. Databricks Certified Data Engineer Associate Study Guide

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    • 7 views

  14. Databricks Certified Data Engineer Associate Study Guide In-Depth Guidance and Practice

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    • 4 views

  15. Database Design with SQL Building Fast and Reliable Systems

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    • 7 views

  16. Data-Driven Talent Management Using Analytics to Improve Employee Experience

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    • 18 views

  17. Data-Centric Machine Learning with Python The ultimate guide to engineering and deploying high-quality models based

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    • 11 views

  18. Data Structures and Algorithms with the C++ STL A guide for modern C++ practitioners

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    • 31 views

  19. Data Structures and Algorithms with Python

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    • 6 views

  20. Data Science Mastery From Beginner to Expert in Big Data Analytics

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    • 5 views
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