Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas, 2nd Edition
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Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas, 2nd Edition

by Jan Erik Solem, Claus Führer, Olivier Verdier

Data Science scientific computing Python Programming
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Scientific Computing with Python explores high-performance scientific computing through NumPy, SciPy, and pandas. This second edition provides a focused resource for readers interested in Python-based numerical computation, scientific data handling, and the software libraries that support modern scientific workflows.

About This Book

Scientific Computing with Python presents high-performance scientific computing using the Python programming language.

The book focuses on three core libraries: NumPy, SciPy, and pandas.

Its subject matter connects numerical computation, scientific data, and practical software tools.

This is the second edition, authored by Jan Erik Solem, Claus Führer, and Olivier Verdier.

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I will be using this book for: