Property will cost us the earth The science on climate change has been clear for a very long time now. Yet despite decades of appeals, mass street protests, petition campaigns, and peaceful demonstrations, we are still facing a booming fossil fuel industry, rising seas, rising emission levels, and a rising temperature. With the stakes so high, why haven't we moved beyond peaceful protest? In this lyrical manifesto, noted climate scholar (and saboteur of SUV tires and coal mines) Andreas Malm makes an impassioned call for the climate movement to escalate its tactics in the face of ecological collapse. We need, he argues, to force fossil fuel extraction to stop--with our actions, with our bodies, and by defusing and destroying its tools. We need, in short, to start blowing up some oil pipelines. Offering a counter-history of how mass popular change has occurred, from the democratic revolutions overthrowing dictators to the movement against apartheid and for women's suffrage, Malm argues that the strategic acceptance of property destruction and violence has been the only route for revolutionary change. In a braided narrative that moves from the forests of Germany and the streets of London to the deserts of Iraq, Malm offers us an incisive discussion of the politics and ethics of pacifism and violence, democracy and social change, strategy and tactics, and a movement compelled by both the heart and the mind. Here is how we fight in a world on fire.

This classic reference has built a reputation as the "go to" book to solve even the most vexing pipeline problems. Now in its seventh edition, Pipeline Rules of Thumb Handbook continues to set the standard by which all others are judged. The 7th edition features over 30% new and updated sections, reflecting the exponential changes in the codes, construction and equipment since the sixth edition. The seventh edition includes: recommended drill sizes for self-tapping screws, new ASTM standard reinforcing bars, calculations for calculating grounding resistance, national Electrical Code tables, Corilis meters, pump seals, progressive cavity pumps and accumulators for lubricating systems. * Shortcuts for pipeline construction, design, and engineering * Calculations methods and handy formulas * Turnkey solutions to the most vexing pipeline problems

Nya, an inner-city public high school teacher, is committed to her students but desperate to give her only son Omari opportunities they’ll never have. When a controversial incident at his upstate private school threatens to get him expelled, Nya must confront his rage and her own choices as a parent. But will she be able to reach him before a world beyond her control pulls him away? With profound compassion and lyricism, Pipeline brings an urgent conversation powerfully to the fore. Morisseau pens a deeply moving story of a mother’s fight to give her son a future — without turning her back on the community that made him who he is.

Starts with a history of generic pipeline coating types and technical information about use. Practical information about selection and evaluation for each type of coating system is provided. Discussion of how coatings work with cathodic protection, CP shielding by coatings and other related issues with the various coating systems related to CP.

Industry expert John Kennedy details the oil and gas pipeline operation industry in this complete text. Contents: Pipeline industry overview Types of pipelines Pipe manufacture and coating Fundamentals of pipeline design Pumps and compressors Prime movers Construction practices and equipment Welding techniques and equipment Operation and control Metering and storage Maintenance and repair Inspection and rehabilitation Pipeline regulation Safety and environmental protection Tommorrow's technology. (Amazon)

How contemporary environmental struggles and resistance to pipeline development became populist struggles Stunning Indigenous resistance to the Keystone XL and the Dakota Access pipelines has made global headlines in recent years. Less remarked on are the crucial populist movements that have also played a vital role in pipeline resistance. Kai Bosworth explores the influence of populism on environmentalist politics, which sought to bring together Indigenous water protectors and environmental activists along with farmers and ranchers in opposition to pipeline construction. Here Bosworth argues that populism is shaped by the “affective infrastructures” emerging from shifts in regional economies, democratic public-review processes, and scientific controversies. With this lens, he investigates how these movements wax and wane, moving toward or away from other forms of environmental and political ideologies in the Upper Midwest. This lens also lets Bosworth place populist social movements in the critical geographical contexts of racial inequality, nationalist sentiments, ongoing settler colonialism, and global empire—crucial topics when grappling with the tensions embedded in our era’s immense environmental struggles. Pipeline Populism reveals the complex role populism has played in shifting interpretations of environmental movements, democratic ideals, scientific expertise, and international geopolitics. Its rich data about these grassroots resistance struggles include intimate portraits of the emotional spaces where opposition is first formed. Probing the very limits of populism, Pipeline Populism presents essential work for an era defined by a wave of people-powered movements around the world.

Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques