Inventive, (mostly) edible DIY gadgets and projects guaranteed to captivate The Hungry Scientist Handbook brings DIY technology into the kitchen and onto the plate. It compiles the most mouthwatering projects created by mechanical engineer Patrick Buckley and his band of intrepid techie friends, whose collaboration on contraptions started at a memorable 2005 Bay Area dinner party and resulted in the formation of the Hungry Scientist Society—a loose confederation of creative minds dedicated to the pursuit of projects possessing varying degrees of whimsy and utility. Featuring twenty projects ranging from edible origami to glowing lollipops, cryogenic martinis to Tupperware boom boxes, the book draws from the expertise of programmers, professors, and garden-variety geeks and offers something to delight DIYers of all skill levels.

For fans of The Giver, a futuristic thriller with a diverse cast. In Thalia's world, there is no more food and no need for food, as everyone takes medication to ward off hunger. Her parents both work for the company that developed the drugs society consumes to quell any food cravings, and they live a life of privilege as a result. When Thalia meets a boy who is part of an underground movement to bring food back, she realizes that there is an entire world outside her own. She also starts to feel hunger, and so does the boy. Are the meds no longer working? Together, they set out to find the only thing that will quell their hunger: real food. It's a journey that will change everything Thalia thought she knew. But can a "privy" like her ever truly be part of a revolution?

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

For the first time information from various sources has been brought together in order to build up a picture of how food was grown, conserved, prepared and eaten during the period from the beginning of the 5th century to the 11th century. No specialist knowledge of the Anglo-Saxon period or language is needed, and many people will find it fascinating for the views it gives of an important aspect of Anglo-Saxon life and culture. In addition to Anglo-Saxon England the Celtic west of Britain is also covered.

The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.

Under the auspices of one of the world's premier libraries, The New York Public Library Science Desk Reference offers the most comprehensive single volume available of frequently needed information on science. More than a simple dictionary or encyclopedia yet easier to use and understand than a textbook, it offers an enormous wealth of information on each of the major scientific disciplines, including: topic overviews, definitions of terms and theories, lists and descriptions of key scientists and discoveries, tables and charts of commonly needed scientific data, lists of additional sources of information...and lots more. Best of all, this reference is written and designed to be both accurate and accessible. More than 100 original state-of-the-art computer illustrations illuminate the text, while countless sidebars present information on connected topics, and extensive cross-references make it easy to explore related issues. Finally, an entire chapter is devoted to resources, including such useful information as a complete list of Nobel Prize winners and names and addresses of scientific organizations, publications, museums, nature centers, and other places to visit.

A realistic yet encouraging look at how society can change in ways that will allow us to feed an expanding global population. This book addresses the question of how we can best feed the ten billion or so people who will likely inhabit the Earth by the middle of the twenty-first century. He asks whether human ingenuity can produce enough food to support healthy and vigorous lives for all these people without irreparably damaging the integrity of the biosphere. What makes this book different from other books on the world food situation is its consideration of the complete food cycle, from agriculture to post-harvest losses and processing to eating and discarding. Taking a scientific approach, Smil espouses neither the catastrophic view that widespread starvation is imminent nor the cornucopian view that welcomes large population increases as the source of endless human inventiveness. He shows how we can make more effective use of current resources and suggests that if we increase farming efficiency, reduce waste, and transform our diets, future needs may not be as great as we anticipate. Smil's message is that the prospects may not be as bright as we would like, but the outlook is hardly disheartening. Although inaction, late action, or misplaced emphasis may bring future troubles, we have the tools to steer a more efficient course. There are no insurmountable biophysical reasons we cannot feed humanity in the decades to come while easing the burden that modern agriculture puts on the biosphere.