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| 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: | | | | | | | | 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. : Sharing Widget |