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Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition Claus Führer, Jan Erik Solem, Olivier Verdier - okladka książki

Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition Claus Führer, Jan Erik Solem, Olivier Verdier - okladka książki

Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition Claus Führer, Jan Erik Solem, Olivier Verdier - audiobook MP3

Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition Claus Führer, Jan Erik Solem, Olivier Verdier - audiobook CD

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392
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Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.
This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.
By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.

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O autorach książki

Jan Erik Solem is a Python enthusiast, former associate professor, and computer vision entrepreneur. He co-founded several computer vision startups, most recently Mapillary, a street imagery computer vision company, and has worked in the tech industry for two decades. Jan Erik is a World Economic Forum technology pioneer and won the Best Nordic Thesis Award 2005-2006 for his dissertation on image analysis and pattern recognition. He is also the author of "Programming Computer Vision with Python" (O'Reilly 2012).
Olivier Verdier began using Python for scientific computing back in 2007 and received a PhD in mathematics from Lund University in 2009. He has held post-doctoral positions in Cologne, Trondheim, Bergen, and Ume and is now an associate professor of mathematics at Bergen University College, Norway.

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