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020 a| 9781107075412 (hardback);

020 a| 9781107428225 (paperback);

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100 1 a| Hill, Christian,d| 1974-?| UNAUTHORIZED;

245 10 a| Learning scientific programming with Pythonh| [electronic resource] /c| Christian Hill, University College London and Somerville College, University of Oxford.;

260 a| Cambridge, United Kingdom :b| Cambridge University Press,c| 2015.;

263 a| 1508;

300 a| pages cm;

505 8 a| Machine generated contents note: 1. Introduction; 2. The core Python language I; 3. Interlude: simple plotting with Pylab; 4. The core Python language II; 5. IPython and IPython notebook; 6. NumPy; 7. Matplotlib; 8. SciPy; 9. General scientific programming; Appendix A; Solutions; Index.;

506 a| Available only to authorized users.;

520 a| "Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Sciencex| Data processing.=| ^A90442;

650 0 a| Sciencex| Mathematics.=| ^A1018265;

650 0 a| Python (Computer program language)=| ^A809520;

650 7 a| SCIENCE / Mathematical Physics.2| bisacsh;

655 0 a| Electronic books.=| ^A491897;

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Learning scientific programming with Python / Christian Hill, University College London and Somerville College, University of Oxford.

Author/creator	Hill, Christian, 1974-
Format	Electronic
Publication Info	Cambridge, United Kingdom : Cambridge University Press, 2015.
Description	pages cm
Supplemental Content	Full text available from Knovel, Academic, General Engineering & Project Administration
Subjects	Science--Data processing. Science--Mathematics. Python (Computer program language)

Contents	Machine generated contents note: 1. Introduction; 2. The core Python language I; 3. Interlude: simple plotting with Pylab; 4. The core Python language II; 5. IPython and IPython notebook; 6. NumPy; 7. Matplotlib; 8. SciPy; 9. General scientific programming; Appendix A; Solutions; Index.
Abstract	"Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming"-- Provided by publisher.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2015017085
ISBN	9781107075412 (hardback)
ISBN	9781107428225 (paperback)

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Learning scientific programming with Python / Christian Hill, University College London and Somerville College, University of Oxford.

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