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Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas PDF

392 Pages·2021·69.7165 MB·other
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About Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas

Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.

Detailed Information

Author:Claus Fuhrer [Führer, Claus]; Jan Erik Solem; Olivier Verdier
Publication Year:2021
ISBN:1838822321
Pages:392
Language:other
File Size:69.7165
Format:PDF
Price:FREE
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