03493cam a22006018i 4500 9781032673950 FlBoTFG 20251030122304.0 m o d cr ||||||||||| 240416s2025 flu ob 001 0 eng OCoLC-P eng rda OCoLC-P 9781032673950 (ebook) 1032673958 9781040119631 (electronic bk. : EPUB) 1040119638 (electronic bk. : EPUB) 9781040119570 (electronic bk. : PDF) 1040119573 (electronic bk. : PDF) 9781032650333 (hardback) 9781032673905 (paperback) 10.1201/9781032673950 doi (OCoLC)1430983275 (OCoLC-P)1430983275 QA76.73.P98 COM 059000 bisacsh COM 007000 bisacsh COM 062000 bisacsh PH bicssc Pine, David J., author. https://id.oclc.org/worldcat/entity/E39PCjwyQgvQ67kfKPmFgBQFGb 95998 Introduction to Python for science and engineering / David J. Pine. Second edition. Boca Raton, FL : CRC Press, 2025. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Series in computational biophysics "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"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Python (Computer program language) 64608 Computer programming. Engineering Data processing. Science Data processing. COMPUTERS / Computer Engineering bisacsh 64152 COMPUTERS / CAD-CAM bisacsh 95999 COMPUTERS / Data Modeling & Design bisacsh 65185 Series in computational biophysics. 96000 Taylor & Francis https://www.taylorfrancis.com/books/9781032673950 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 68235 68235