Trashed, Derf Backderf's follow-up to the critically acclaimed, award-winning international bestseller My Friend Dahmer, is an ode to the crap job of all crap jobs--garbage collector. Anyone who has ever been trapped in a soul-sucking gig will relate to this tale. Trashed follows the raucous escapades of three 20-something friends as they clean the streets of pile after pile of stinking garbage, while battling annoying small-town bureaucrats, bizarre townfolk, sweltering summer heat, and frigid winter storms. Trashed is fiction, but is inspired by Derf's own experiences as a garbage­man. Interspersed are nonfiction pages that detail what our garbage is and where it goes. The answers will stun you. Hop on the garbage truck named Betty and ride along with Derf on a journey into the vast, secret world of garbage. Trashed is a hilarious, stomach-churning tale that will leave you laughing and wincing in disbelief.

    He's an ordinary high school student whose body has been invaded by an alien parasite. And he alone knows a terrible secret: The aliens are plotting the destruction of humankind. Now Shinichi is the target - for both the government and the alien invaders - in a hunt that will lead to a terrifying, bloody showdown....

    Eventually, he realises Yamato’s gaze is directed towards an unattainable love. From a study group together Yuiji finds out that Yamato is a “pretty nice guy,” and despite his awkwardness, starts wishing for his happiness.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    A Drifting Life is his monumental memoir eleven years in the making, beginning with his experiences as a child in Osaka, growing up as part of a country burdened by the shadows of World War II.Spanning fifteen years from August 1945 to June 1960, Tatsumi’s stand-in protagonist, Hiroshi, faces his father’s financial burdens and his parents’ failing marriage, his jealous brother’s deteriorating health, and the innumerable pitfalls that await him in the competitive manga market of mid-twentieth-century Japan. He dreams of following in the considerable footsteps of his idol, the manga artist Osamu Tezuka (Astro Boy, Apollo’s Song, Ode to Kirihito, Buddha)—with whom Tatsumi eventually became a peer and, at times, a stylistic rival. As with his short-story collection, A Drifting Life is designed by Adrian Tomine.

    Weinberg adds new insights and highlights the similarities and differences between now and then. Using a conversational style that invites the reader to join him, Weinberg reunites with some of his most insightful writings on the human side of software engineering.Topics include egoless programming, intelligence, psychological measurement, personality factors, motivation, training, social problems on large projects, problem-solving ability, programming language design, team formation, the programming environment, and much more.Dorset House Publishing is proud to make this important text available to new generations of programmers -- and to encourage readers of the first edition to return to its valuable lessons.

    That was before one pioneering work documented the underground computer revolution that was about to change our world forever. With groundbreaking profiles of Bill Gates, Steve Wozniak, MIT's Tech Model Railroad Club, and more, Steven Levy's Hackers brilliantly captured a seminal moment when the risk-takers and explorers were poised to conquer twentieth-century America's last great frontier. And in the Internet age, the hacker ethic-first espoused here-is alive and well.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    One day, with Yoon Bum's obsession toward Sangwoo reaching its peak, Yoon Bum decides to enter Sangwoo's home. But what he sees inside is not the Sangwoo he had dreamed of. (Chapters 1-19)

    Told using expressive artwork that invokes both laughter and tears, this moving and highly entertaining single volume depicts not only the artist’s burgeoning sexuality, but many other personal aspects of her life that will resonate with readers.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    But during one play date, his mother notices that her son is slightly different from the other children. In the alternately heartwarming and bittersweet tale, a young mother tries to cope with both the overwhelming discovery of her child's autism and the trials of raising him while keeping her family together. This is a story that resonates not only for those whose families have been affected by autism, but also for all past, present, and future parents.

    The 9.0-magnitude quake threw up a devastating tsunami that wiped away entire towns, and caused, in the months afterward, three nuclear meltdowns at the Fukushima Daiichi Nuclear Plant. Altogether, it was the costliest natural disaster in human history.This is not the story of that disaster.This is the story of a man who took a job. Kazuto Tatsuta was an amateur artist who signed onto the dangerous task of cleaning up the Fukushima Daiichi Nuclear Plant, which the workers came to call "Ichi-F." This is the story of that challenging work, of the trials faced by the local citizens, and of the unique camaraderie that built up between the mostly blue-collar workers who had to face the devious and invisible threat of radiation on a daily basis. After six months, Tatsuta's body had absorbed the maximum annual dose of radiation allowed by regulations, and he was forced to take a break from the work crew, giving him the time to create this unprecedented, unauthorized, award-winning view of daily life at Fukushima Daiichi."I drew this manga because I wanted people to see what day-to-day life at the nuclear power plant is like. Because I believe that's essential to the future of our country." -Kazuto Tatsuta

    The science fiction tale set in 2019 in Tokyo after the city was destroyed by World War III, follows the lives of two teenage friends, Tetsuo and Kaneda, who have a consuming fear of a monstrous power known as Akira.

    More and more leading businesses today use estimation questions in interviews to test applicants' abilities to think on their feet. Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic.Lawrence Weinstein and John Adam present an eclectic array of estimation problems that range from devilishly simple to quite sophisticated and from serious real-world concerns to downright silly ones. How long would it take a running faucet to fill the inverted dome of the Capitol? What is the total length of all the pickles consumed in the US in one year? What are the relative merits of internal-combustion and electric cars, of coal and nuclear energy? The problems are marvelously diverse, yet the skills to solve them are the same. The authors show how easy it is to derive useful ballpark estimates by breaking complex problems into simpler, more manageable ones--and how there can be many paths to the right answer. The book is written in a question-and-answer format with lots of hints along the way. It includes a handy appendix summarizing the few formulas and basic science concepts needed, and its small size and French-fold design make it conveniently portable. Illustrated with humorous pen-and-ink sketches, Guesstimation will delight popular-math enthusiasts and is ideal for the classroom.