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  Salton Sea The: The History of...

  Editors Charles River

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  In the list of popular American geological oddities and attractions, one sizeable phenomenon remains surprisingly unfamiliar to the average citizen. This may be due in part to its remote desert location, but perception of the Salton Sea in southern California is also laden with environmental concerns and is in a constant state of flux. The extensive body of inland saltwater hides a glorious commercial past and has served as an important wildlife preserve but approaches a seemingly inevitable crisis in the coming decade. 
  	The Salton Sea in not directly “on the way” to anything substantial or iconic, and is situated one hour’s drive from Palm Springs, 30 miles to the south of Indio, California on Highway 111. Its distance from Los Angeles and San Diego is approximately three hours driving time. The most recognizable natural phenomenon of Imperial and Riverside counties, it is surrounded by a rural area comprised of predominantly migrant farm workers and located in the southern Colorado desert area known as the Salton Trough, or Salton Sink. 
  	Despite being a natural occurrence filling and emptying intermittingly throughout history, the current presence of this large inland sea surrounded by sand was created accidentally in the early 20th century. First formed around 700 CE, the original and much larger version of the great inland lake was called Lake Cahuilla, connected to the Sea of Cortez. By the time the first Europeans arrived in the 16th century, the basin was completely dry as Don Juan Bautista led the first party across the basin’s expanse.  
  	The “accidental” creation of the lake’s modern version was a product of the rising Colorado that destroyed a crucial section of the canal system designed to help farmers. Millions of gallons of water were forced into the lowland area. Beyond the one breach, the entire volume of the river flowed into the Salton lowlands for nearly two years before engineers finally stopped it.

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  60 Days to a Greener Life - Ease...

  Heather White

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  Read by the author. 
  Are you worried about the climate crisis? Are you suffering from eco-anxiety? Do you want to help but you're not sure how? Do you want to learn how to make greener choices? If you answered yes to any of those questions, author and environmentalist Heather White's 60 Days to a Greener Life is the resource you need.  
  You can read an entry every day or at your own pace. Each entry provides valuable insights and easy-to-apply ways you can live a more eco-friendly, joyful life. Each entry includes:a topic or question related to our world.an easy-to-understand explanation of ways you can adjust your lifestyle. 
    
  60 Days to a Greener Life will teach you about:eco-anxiety, how to manage it, and why individual action matters.climate change, recycling, and greener, sustainable school lunch choices.  connecting to nature and wildlife.volunteering and how to jumpstart conversations about good environmental practices.renewable energy, regenerative agriculture, organic food, and GMOs.toxic chemicals, plastic pollution, safe drinking water, and more. 
  Heather White is the founder of OneGreenThing.org. She directed environmental education advocacy at the nation's largest conservation organization, served as executive director to an environmental heath watchdog in Washington, DC, and led the nonprofit partner to Yellowstone National Park. She's been featured on Good Morning America, CBS, PBS, ABC, and quoted in the New York Times, the Washington Post, and Teen Vogue. 
  Prompts, links, and a glossary of terms can be found in the audiobook companion PDF download.

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  Whispers in the Wilderness

  Erik Stensland

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  Many of us spend a great deal of our time dreaming about our next trip to the mountains, whether for a weekend getaway or our yearly vacation. We hear within that deep inexplicable pull toward the wilderness and would agree with John Muir, who said: "The mountains are calling and I must go." We sense that in the wild we are touching the edge of something that is both wonderful and mysterious. 
  In this book Erik Stensland, a professional landscape photographer based in Estes Park, Colorado, explores this longing we have for the wilderness and suggests that it is the trailhead for a journey to wholeness. Through short daily reflections on the natural world paired with his gorgeous photos from Rocky Mountain National Park, he encourages us to go deeper within ourselves and discover the healing that nature is offering.

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  Thin Places - A Natural History...

  Kerri ní Dochartaigh

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  Kerri ní Dochartaigh was born in Derry, on the border of the North and South of Ireland, at the very height of the Troubles. She was brought up on a council estate on the wrong side of town—although for her family, and many others, there was no right side. One parent was Catholic, the other was Protestant. In the space of one year, they were forced out of two homes. When she was eleven, a homemade bomb was thrown through her bedroom window. Terror was in the very fabric of the city, and for families like ní Dochartaigh's, the ones who fell between the cracks of identity, it seemed there was no escape. 
   
   
   
  In Thin Places, a luminous blend of memoir, history, and nature writing, ní Dochartaigh explores how nature kept her sane and helped her heal, how violence and poverty are never more than a stone's throw from beauty and hope, and how we are, once again, allowing our borders to become hard and terror to creep back in. Ní Dochartaigh asks us to reclaim our landscape through language and study, and remember that the land we fight over is much more than lines on a map. It will always be ours, but—at the same time—it never really was.

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  Ultimate Microservices with Go -...

  Nir Shtein

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  Develop production-ready, high-performance, and scalable microservices with Go
  KEY FEATURES 
  ? Learn to design and implement resilient RESTful APIs using Go, with a focus on scalability and maintainability.
  ? Discover how Kubernetes empowers reliable microservice architecture, covering deployment, scaling, service discovery, and load balancing.
  ? Gain practical tools and insights for deploying microservices to production using Go and Kubernetes, ensuring smooth operations and high availability.
  DESCRIPTION
  Embark on a comprehensive journey through microservices architecture with a focus on harnessing the power of Go in modern cloud-based solutions. 
  This book begins with a succinct introduction to microservices and their synergy with cloud strategies, emphasizing Go's aptitude for developing scalable and efficient services. You'll then delve into the fundamentals of Go, covering essential practices and core concepts, and establishing a strong language foundation. 
  The exploration continues with a detailed examination of constructing a single service, emphasizing design, documentation, and structure. Through various design patterns, you'll learn to implement a server capable of serving as a RESTful API, an internal worker, and more. This hands-on approach equips you with the expertise to craft robust and sustainable services. 
  Finally, the book guides you through deploying your service to production using Kubernetes. You'll explore scaling techniques, performance optimization, and observability, ensuring your service is ready for the demands of the real world.
  WHAT WILL YOU LEARN 
  ? Gain a comprehensive understanding of microservices architecture, including its advantages, limitations, and alternative approaches. 
  ? Master the fundamentals of Go, from basic syntax and concepts to more advanced topics, enabling you to leverage its capabilities effectively. 
  ? Explore the key components of microservices architecture implemented using Go, understanding how they interact and contribute to the overall system. 
  ? Design and implement robust RESTful APIs with Go, incorporating essential features like pagination, rate-limiting, caching, retries, and timeouts for optimal performance. 
  ? Discover Kubernetes and its close relationship with microservices architecture, gaining insights into its role in orchestrating and managing containerized applications. 
  ? Learn to deploy production-ready services with Go, covering essential aspects such as authentication, monitoring, continuous integration and continuous deployment (CI/CD), fault tolerance design, and rollout procedures, all from the perspective of a developer.
  WHO IS THIS BOOK FOR?
  This book targets developers and software architects looking to enhance their microservices expertise using Go, offering insights into modern tech demands. It's beneficial for those mastering microservices basics and refining skills in Go, Kubernetes, and RESTful APIs. Whether advancing careers or improving proficiency, it equips readers for success in dynamic software development.
  Table of Contents
   1. Introduction to Microservices
  2. Usability of Go
  3. Go Essentials
  4. Embarking on the Go Journey
  5. Unlocking Go's Concurrency Power
  6. Core Elements of Microservices
  7. Building RESTful API
  8. Introduction to Kubernetes
  9. Deploying to Production
  10. Next Steps in Production    
  Index

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  Data Preprocessing - Optimizing...

  Brian Murray

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  Data Preprocessing: Optimizing Data Quality and Structure for Effective Analysis and Machine Learning is a comprehensive guide to the process of preparing data for analysis and machine learning. With the exponential growth of data in today's world, effective data preprocessing has become a critical step in the success of any data analysis or machine learning project. This book provides a detailed overview of the fundamental concepts, techniques, and best practices involved in data preprocessing, along with practical examples and case studies. 
  The book covers a range of topics, including data cleaning, transformation, integration, reduction, and discretization, as well as specific applications of data preprocessing for image, audio, text, and time-series data. The author provides an overview of the different tools and techniques available for data preprocessing, along with real-world examples and case studies in different industries and domains. 
  Readers will learn how to handle missing values, outliers, and irrelevant data, as well as how to transform, scale, and select features. They will also gain an understanding of the challenges involved in data preprocessing, as well as emerging trends and technologies in the field. Whether you are a data scientist, machine learning engineer, or analyst, this book is an essential resource for optimizing the quality and structure of your data for effective analysis and machine learning. 
   

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