Preface
"I am absolutely convinced that in a few decades, historians of science will describe the period we are in right now as one of deep and significant transformations to the very structure of science. And in that process, the rise of free openly available tools plays a central role." |
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| --Fernando Perez, creator of IPython | ||
This book covers the Python APIs and toolkits used to perform scientific computing. It is highly recommended for readers who perform computerized engineering or scientific computations. Scientific computing is an interdisciplinary branch that requires a background in computer science, mathematics, general science (at least any one branch out of physics, chemistry, environmental science, biology, and others), and engineering. Python consists of a large number of packages, APIs, and toolkits for supporting the functionalities required by these diverse scientific and engineering domains.
A large community of users, lots of help and documentation, a large collection of scientific libraries and environments, great performance, and good support make Python a great choice for scientific computing.