Mercier depicts the vibrant life of the smelter city at full steam, incorporating the candid, sometimes wry commentary of the locals ("the company furnished three pair of leather gloves . . . and all the arsenic dust] you could eat"). She documents the early history of the town and the distinctive culture of cooperation and activism that residents fostered in the 1930s and 1940s. Ultimately, their solidarity and discontent with the company converged in the successful 1934 strike and sustained five decades of devoted unionism. During the cold war years, Anacondans held to their communal values and to unions in the face of antilabor and anticommunist pressures, embracing an "alternative Americanism" that championed improved living standards for working people, rather than unlimited corporate power, as the best defense against communism. Mercier chronicles the bitter struggle between two rival unions--the anticommunist United Steelworkers of America and the red-tainted International Union of Mine, Mill and Smelter Workers--that undercut the town's labor solidarity in the postwar years. She also explores how gender definitions--especially the male breadwinner ideology and the limits placed on women's political, economic, and social roles--shaped the nature and outcome of labor struggles. Mercier carries her investigation through the closing of the smelter in 1980, covering debates over the environment and the community's transformation into a deindustrialized, nonunion town. Underscoring the role of the community in molding working-class consciousness, Anaconda offers important insights about the changing nature of working-class culture and the real potential for collective action under the midday sun of American industrial capitalism.

All over the world, there are tales of giant creatures that hide from human contact. Giant Anaconda and Other Cryptids: Fact or Fiction? presents evidence for the existence of several of these amazing animals, including the Sucuriju, a 50-foot-long snake from South America; the bloodthirsty Chupacabra, or "Goat Sucker," from Puerto Rico; the fierce lizard Megalania, Australia's gigantic cousin of the Komodo dragon; the thylacine, a carnivorous marsupial from Tasmania; the Thunderbird, a monstrous, child-snatching bird of prey from the United States; the Kongamato and Ropen, prehistoric flying reptiles from Africa and New Guinea; and the Ri, a mermaid-like creature inhabiting the waters of a tropical island paradise in the Pacific Ocean. The book allows readers to draw their own conclusions about the existence of these hidden giant creatures.

Anaconda tells the unexpected story of the world's largest snake. Written by Jesús Rivas, the undisputed expert on the biology of anacondas, this is the first authoritative book on the biology of the green anaconda. In this book, Rivas describes his experiences over a quarter of a century, exploring the secret life of these fantastic snakes, including: their diet, movement patterns, life and tribulations, survival, behavior, and fascinating reproductive life. More than just presenting facts about anacondas, Rivas tells his story about studying them in the field. Anaconda presents a comprehensive treatment of the natural history of the elusive green anacondas. Drawing on twenty-five years of research on this reptile in the wild and in captivity, Rivas delves into the biology, behavior, demography, reproductive habits, and diet of the anaconda, as well as issues relating to its conservation. Rivas uses an ecological and evolutionary framework to present his research and supplements hard data with descriptions of his research methods, including how he tracked down the anaconda for observation and study in wild. The resulting book is a complete and engaging examination of the world's largest snake. The rich photographs provided, paired with Rivas' storytelling, makes this the perfect book for anyone looking to learn (or even learn more!) about this mysterious snake.

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features -Use Anaconda to find solutions for clustering, classification, and linear regression -Analyze your data efficiently with the most powerful data science stack -Use the Anaconda cloud to store, share, and discover projects and libraries Book Description Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you’re accustomed to all this, you’ll start with operations in data science such as cleaning, sorting, and data classification. You’ll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you’ll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda Use the package manager conda and discover, install, and use functionally efficient and scalable packages Get comfortable with heterogeneous data exploration using multiple languages within a project Perform distributed computing and use Anaconda Accelerate to optimize computational powers Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud Tackle advanced data prediction problems Who this book is for Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It’s also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.

Long before it became "Obama's War," the long-running conflict in Afghanistan was launched by President George W. Bush in retaliation for the 9/11 attacks on the United States. Only a few months later, Operation Anaconda sent American-led coalition forces into their most intensely brutal confrontation with Al Qaeda and their Taliban hosts in the Shar-i Kot Valley near the Pakistan border. The result was an unexpected set piece of conventional fighting in what has become an era of guerrilla warfare. Drawing upon previously unavailable or neglected sources, Lester Grau and Dodge Billingsley give us the most complete and accurate account of this thirteen-day firefight waged in mountainous terrain nearly two miles above sea level. They describe how allied troops fought a fierce and well-entrenched enemy to a standstill, close to an old Soviet battlefield, and then drove them completely out of Afghanistan. Grau and Billingsley's account also highlights problems encountered in Anaconda and the lessons we should learn from their in-depth study. The Army and Air Force operated under conflicting views regarding the appropriate application of Close Air Support, and airpower both crippled and aided the overall effort. In addition, severe shortages of transport, attack helicopters, and artillery hampered the effort, while the acquisition and timely sharing of intelligence barely occurred at all and coalition relations frayed under the intense pressures of combat. As an added bonus, the authors also include with the book a documentary on DVD that features interviews with soldiers who fought in Anaconda, provides additional information concerning major phases of the battle, and presents insightful commentary by Grau and by Billingsley, who was on the ground with U.S. forces for the operation. Providing the richest description and critique of all the forces involved-including those that fought on the enemy side-the combined book-and-DVD surpasses all previous accounts of this landmark engagement and is an essential volume in the literature on our war in Afghanistan.

The missing manual to becoming a successful data scientist—develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape Key Features • Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS • Get to grips with critical aspects of data science such as bias in datasets and interpretability of models • Gain a deeper understanding of the AI/ML landscape through real-world examples and practical analogies Book Description You might already know that there's a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. This book not only covers everything you need to know about algorithm families but also ensures that you become an expert in everything, from the critical aspects of avoiding bias in data to model interpretability, which have now become must-have skills. In this book, you'll learn how using Anaconda as the easy button, can give you a complete view of the capabilities of tools such as conda, which includes how to specify new channels to pull in any package you want as well as discovering new open source tools at your disposal. You'll also get a clear picture of how to evaluate which model to train and identify when they have become unusable due to drift. Finally, you'll learn about the powerful yet simple techniques that you can use to explain how your model works. By the end of this book, you'll feel confident using conda and Anaconda Navigator to manage dependencies and gain a thorough understanding of the end-to-end data science workflow. What you will learn • Install packages and create virtual environments using conda • Understand the landscape of open source software and assess new tools • Use scikit-learn to train and evaluate model approaches • Detect bias types in your data and what you can do to prevent it • Grow your skillset with tools such as NumPy, pandas, and Jupyter Notebooks • Solve common dataset issues, such as imbalanced and missing data • Use LIME and SHAP to interpret and explain black-box models Who this book is for If you're a data analyst or data science professional looking to make the most of Anaconda's capabilities and deepen your understanding of data science workflows, then this book is for you. You don't need any prior experience with Anaconda, but a working knowledge of Python and data science basics is a must.