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 ...

You’ll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to ...

The book focuses on version 3 of Python, but when needed exposes the differences with version 2, which is still widely in use among the scientific community. Once the basic concepts of the language ...

SciPy stands for Scientific Python. It provides more utility functions for optimization, stats and signal processing. Like NumPy, SciPy is open source so we can use it freely.

Fortunately, the NumPy and SciPy modules are a popular and effective way to greatly improve the performance of Python for numerical computing. This course aims to introduce the basic features of the ...

In keeping with that goal, the book is confined to one popular Python distribution for scientific work—Anaconda—and the common scientific computing tools and libraries that are packaged with ...

Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential ...