Mp4movie Com L
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Sony Alpha SLT-A35 / A55 For Dummies
"Learn to: Use the camera controls, set up shooting modes, use Auto mode, and shoot video; Play back, review, and edit your images; Experiment with exposure, flash, and focus to create great photos"--Cover.
The Accidental Billionaires
NATIONAL BESTSELLER “The Social Network, the much anticipated movie…adapted from Ben Mezrich’s book The Accidental Billionaires.” —The New York Times Best friends Eduardo Saverin and Mark Zuckerberg had spent many lonely nights looking for a way to stand out among Harvard University’s elite, competitive, and accomplished student body. Then, in 2003, Zuckerberg hacked into Harvard’s computers, crashed the campus network, almost got himself expelled, and was inspired to create Facebook, the social networking site that has since revolutionized communication around the world. With Saverin’s funding their tiny start-up went from dorm room to Silicon Valley. But conflicting ideas about Facebook’s future transformed the friends into enemies. Soon, the undergraduate exuberance that marked their collaboration turned into out-and-out warfare as it fell prey to the adult world of venture capitalists, big money, and lawyers.
Introduction to Python for Science and Engineering
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed. Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms. Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments. All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.