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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.
This is a digital product.
Introduction to Python for Science and Engineering 2nd Edition is written by David J. Pine and published by CRC Press. The Digital and eTextbook ISBNs for Introduction to Python for Science and Engineering are 9781040119631, 1040119638 and the print ISBNs are 9781032673905, 1032673907. Additional ISBNs for this eTextbook include 9781032650333, 9781032673950, 9781040119570.

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