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| / / : """ : / | | ||
| P R.E S E N T S . | | ||
| / . | | ||
| Numerical Python | | ||
| | | ||
| A Practical Techniques Approach for Industry | | ||
| | | ||
| | | ||
| DATE: 2015-11-03 SIZE: 10,49MB DISKS: 03_______4,77MB PAGES: | | ||
| | | ||
| PUBLISHER: Apress GENRE: Computer Science | | ||
| | | ||
| AUTHOR: Robert Johansson | | ||
| | | ||
| FORMAT: PDF PROTECTION: none EDITION: | | ||
| | | ||
| URL: https://www.apress.com/9781484205549 | | ||
| | | ||
| LANGUAGE: English ISBN: 978-1-484205-54-9 | | ||
: : | ||
: Leverage the numerical and mathematical modules in Python and its Standard : | ||
: Library as well as popular open source numerical Python packages like : | ||
: NumPy, SciPy, SymPy, Matplotlib, Pandas, and more to numerically compute : | ||
: solutions and mathematically model applications in a number of areas like : | ||
: big data, cloud computing, financial engineering, business management and : | ||
: more. : | ||
: : | ||
: After reading and using Numerical Python, you will have seen examples and : | ||
: case studies from many areas of computing, and gained familiarity with : | ||
: basic computing techniques such as array-based and symbolic computing, : | ||
: all-around practical skills such as visualisation and numerical file I/O, : | ||
: general computational methods such as equation solving, optimization, : | ||
: interpolation and integration, and domain-specific computational problems, : | ||
: such as differential equation solving, data analysis, statistical modeling : | ||
: and machine learning. : | ||
: : | ||
: Python has gained widespread popularity as a computing language: It is : | ||
: nowadays employed for computing by practitioners in such diverse fields as : | ||
: for example scientific research, engineering, finance, and data analytics. : | ||
: One reason for the popularity of Python is its high-level and : | ||
: easy-to-work-with syntax, which enables the rapid development and : | ||
: exploratory computing that is required in modern computational work. : | ||
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