This book is an introduction to numerical methods for students in engineering. It covers the usual topics found in an engineering course: solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems, and optimization. The algorithms are implemented in Python 3, a high-level programming...

• Learn how to find, manipulate, and analyze data using Python
• Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python...

• Use object-oriented programming to develop amazing GUIs in Python
• Create a working GUI project as a central resource for developing your Python GUIs
• Packed with easy-to-follow...

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of...

• Use different modules and routines from the SciPy library quickly and efficiently
• Create vectors and matrices and learn how to perform standard mathematical operations...

• Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
• Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
• Authored by Ivan Idris, expert in python programming and proud...