소장자료
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| 100 | 1 | ▼aPine, David J.▲ | |
| 245 | 1 | 0 | ▼aIntroduction to Python for science and engineering /▼cby David J. Pine.▲ |
| 250 | ▼a2nd ed.▲ | ||
| 260 | ▼aBoca Raton, FL :▼bCRC Press, Taylor & Francis Group,▼c2025.▲ | ||
| 300 | ▼axxiii, 419 p. :▼bill. ;▼c24 cm.▲ | ||
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| 490 | 0 | ▼aSeries in computational biophysics▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 520 | ▼a"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.▲ | ||
| 650 | 0 | ▼aPython (Computer program language)▼0http://id.loc.gov/authorities/subjects/sh96008834▲ | |
| 650 | 0 | ▼aComputer programming▼0http://id.loc.gov/authorities/subjects/sh85107310▲ | |
| 650 | 0 | ▼aEngineering▼xData processing▼0http://id.loc.gov/authorities/subjects/sh85043180▲ | |
| 650 | 0 | ▼aScience▼xData processing▼0http://id.loc.gov/authorities/subjects/sh85118562▲ |
Introduction to Python for science and engineering
자료유형
국외단행본
서명/책임사항
Introduction to Python for science and engineering / by David J. Pine.
개인저자
판사항
2nd ed.
발행사항
Boca Raton, FL : CRC Press, Taylor & Francis Group , 2025.
형태사항
xxiii, 419 p. : ill. ; 24 cm.
서지주기
Includes bibliographical references and index.
요약주기
"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.
주제
ISBN
9781032650333 9781032673905
청구기호
005.133 P649i2
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