03499nam a22004815i 4500 ssj0002204375 WaSeSS 20220421091625.0 m d cr n 181224s2019 xxu| o |||| 0|eng d 9781484242452 (print) 10.1007/978-1-4842-4246-9 doi WaSeSS AIMIT LIBRARY QA76.73.P98 UMX bicssc COM051360 bisacsh UMX thema 005.1372 2 JOHR EBOOK Johansson, Robert. 30671 Numerical python : Scientific computing and data science applications with numpy, SciPy and matplotlib / By Robert Johansson. 2nd ed. New York : Apress , 2022. xxiii, 700p. ; 24 cm. text file PDF rda 1. Introduction to Computing with Python -- 2. Vectors, Matrices and Multidimensional Arrays -- 3. Symbolic Computing -- 4. Plotting and Visualization -- 5. Equation Solving -- 6. Optimization -- 7. Interpolation -- 8. Integration -- 9. Ordinary Differential Equations -- 10. Sparse Matrices and Graphs -- 11. Partial Differential Equations -- 12. Data Processing and Analysis -- 13. Statistics -- 14. Statistical Modeling -- 15. Machine Learning -- 16. Bayesian Statistics -- 17. Signal and Image Processing -- 18. Data Input and Output -- 19. Code Optimization. Requires an SPL library card. Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. Mode of access: World Wide Web. Symbolic computing 30672 optimization 30673 Data processing and analysis 30674 Electronic books. local 30675 Springer eBooks Printed edition: 9781484242452 Printed edition: 9781484242476 Printed edition: 9781484246481 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484242469/?ar An e-book available through full-text database. ddc BK 2nd 005.1372 JOHR 222524 222524 03657361 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 1999.00 Bill no:6623; Bill dt:2022-03-23 0 005.1372 JOHR MCA17063 2025-07-21 00:00:00 1599.00 2022-04-21 BK