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  The Return To Office - From...

  Dr. Sharcon Jeannette

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  The world stood still as whispers turned to warnings, and warnings became a reality. This book is an engaging and coarse account of how the COVID-19 crisis spread. It exposes the cracks in global preparedness, leadership failures, and the stability of everyday people. This book carries readers past the headlines, presenting a deep analysis of the chaotic early days of the pandemic. It emphasizes how misinformation, political missteps, and lack of readiness intensified the crisis, shifting what could have been a managed outbreak into a global disaster. The author also captures the full spectrum of survival, from frontline healthcare workers battling exhaustion to corporate leaders scrambling to hold businesses afloat. But it is not merely confined to being a retrospective—it’s a call to action. It pushes readers to question: Are we truly ready for the next global crisis? With its influential narration and critical insights, this book is essential for anyone aspiring to apprehend the pandemic’s lessons and the 'tomorrow' of global health security.

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  Treasury of Folklore: Stars and...

  Willow Winsham

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  Following on from the hugely popular Treasury of Folklore: Seasand Rivers and Woodlands and Forests comes Treasury of Folklore: Stars and Skies, an exploration of the mysteries of the stars, skies and heavens above.
  People have gazed up at the same stars for millennia, trading stories about them; conjuring gods and goddesses; mapping the constellations; and navigating the complex human world below. The tales, traditions and myths included here traverse countries and continents and have been chosen to highlight how humans are linked through time and place, with shared dreams, fears and ways of rationalising the unknown.
  Under 'Stars and Heavens' Willow delves into rosy fingered dawn and the hubris of Icarus, the Greek myths surrounding the constellations and the omen of meteors, the trials of the Hawaiian goddess Hina and the legend of the rabbit in the moon. In the section on 'Skies' we are introduced to winged Pegasus and the Firebird, the Witch of Westray and stories of storms, the mysteries of the Northern Lights and unexplained UFOs. 
  Treasury of Folklore: Stars and Skies is a fascinating portal into a rich history of myths surrounding the sky, an aspect of the natural world that continues to fascinate and confound.

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  First Wilderness - My Quest in...

  Sam Keith

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  After serving as a US Marine during World War II and attending college on the GI Bill, Sam Keith decided to seek adventure in Alaska as a laborer on the Adak Navy base. There he befriended Dick Proenneke, whose shared love of the outdoors, hard work, and self-reliance quickly bonded an alliance between the two. Together they explored the wilds of South Central Alaska, while working on the Navy base, hunting and fishing with friends and breathing in the great outdoors. Keith was ready to leave after three years of finding almost everything he sought—not realizing then how his fate was intrinsically tied to his friend's and how it would lead to writing the bestselling book One Man's Wilderness. 
   
   
   
  Sam Keith passed away in 2003. But in 2013, his son-in-law and children's book author/illustrator Brian Lies discovered in an archive box in their garage a book manuscript, originally written in 1974 after the publication of One Man's Wilderness. First Wilderness is the story of Keith's own experiences, at times harrowing, funny, and fascinating. Along with the original manuscript are excerpts from his journals, letters, and notebooks, woven in to create a compelling and poignant memoir of search and discovery. Foreword by Nick Jans, one of Alaska's foremost authors and photographers, and afterword by Keith's daughter Laurel Lies.

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  Natural Language Processing for...

  James Ferry

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  "Natural Language Processing for Beginners: A Comprehensive Beginner's Guide to Understanding and Applying Natural Language Processing Techniques" is your gateway to the exciting world of NLP. This book is meticulously crafted for those new to the field, providing a solid foundation in the essential concepts, techniques, and applications of NLP. 
  Dive into the fundamentals of how computers understand and process human language. Starting with the basics, you'll explore core topics such as text preprocessing, tokenization, part-of-speech tagging, and named entity recognition. The book then guides you through more advanced subjects, including sentiment analysis, machine translation, and text classification, using both traditional machine learning and cutting-edge deep learning approaches. 
  With clear explanations, practical examples, and hands-on exercises, this guide ensures you gain both theoretical knowledge and practical skills. You'll learn how to gather and preprocess data, choose the right models, train and evaluate them, and finally deploy NLP systems in real-world scenarios. 
  "Natural Language Processing for Beginners" offers a comprehensive and accessible introduction to the fascinating field of NLP, equipping you with the tools and knowledge to start your journey in this rapidly evolving domain.

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  Safety and Disaster Management -...

  Lyric Vale

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  In the complex ecosystem of urban environments, the twin imperatives of safety and resilience represent some of the most fundamental challenges facing modern cities. As urban populations grow and densify, the vulnerability of metropolitan regions to both human-made threats and natural disasters intensifies, creating unprecedented challenges for governance, planning, and community response. This comprehensive exploration delves into the multifaceted domains of Urban Crime and Safety, Urban Disaster Management, and City Resilience—examining how cities develop systems, strategies, and social infrastructures to protect their inhabitants from harm while building capacity to withstand, recover from, and adapt to catastrophic events. 
  The narrative of urban safety and disaster response transcends technical systems; it encompasses the intricate relationships between built environments, social dynamics, institutional preparedness, and community cohesion that collectively determine how effectively cities can protect their populations. By examining the complex intersections of crime prevention through environmental design, comprehensive disaster risk reduction frameworks, and holistic approaches to urban resilience, this book illuminates how cities are evolving from passive settings where hazards occur to active agents of protection and adaptation. Readers will journey through diverse urban contexts—from crime prevention strategies in high-density neighborhoods to disaster management systems in seismically active regions and resilience-building initiatives in climate-vulnerable coastal cities—discovering how safety and security emerge not merely from technological solutions, but from integrated approaches that strengthen social connections, institutional capabilities, and physical infrastructure simultaneously.

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  Python for Big Data - Clear...

  Ben Rizer

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  In the age of Big Data, organizations are leveraging vast amounts of information to drive innovation, make data-driven decisions, and solve complex problems. Python for Big Data is a comprehensive guide that explores the powerful role Python plays in managing, processing, and analyzing large datasets efficiently. Whether you're new to the world of data or an experienced developer seeking to deepen your skills, this book provides a step-by-step journey through Python's big data ecosystem. 
  The book begins by introducing Python’s fundamental data handling libraries like Pandas and NumPy, and scales up to working with distributed computing tools such as Dask and Apache Spark. You'll learn to process and analyze structured and unstructured data, build machine learning models with Scikit-learn and SparkML, and delve into deep learning with frameworks like TensorFlow and PyTorch. 
  From setting up your Python environment to building real-time data pipelines using Apache Kafka and PySpark Streaming, this book covers the entire data lifecycle. You’ll also learn how to visualize large datasets, optimize performance, and scale your Python applications across distributed environments with Docker and Kubernetes. 
  With practical case studies from industries like retail, healthcare, and social media analytics, Python for Big Data combines theory with real-world applications to equip you with the skills necessary to tackle big data challenges. Whether you're managing petabytes of data, building predictive models, or automating analytics, this book is your ultimate guide to using Python effectively in big data environments. 
   

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