Book Image

Scientific Computing with Python - Second Edition

By : Claus Führer, Jan Erik Solem, Olivier Verdier
Book Image

Scientific Computing with Python - Second Edition

By: Claus Führer, Jan Erik Solem, Olivier Verdier

Overview of this book

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.
Table of Contents (23 chapters)
20
About Packt
22
References
Communication by a Graphical User Interface

Graphical user interfaces (GUIs) are convenient tools to input user data to your Python program. In all likelihood, you have used tools such as selection lists, radio buttons, or sliders to communicate with an application. In this chapter, we show how to add some of these tools to your program. We base this chapter on tools provided by the module Matplotlib, which we already met in Section 6.2: Working with Matplotlib objects directly.

Although there are alternatives such as the module Tkinter for a more sophisticated design of GUIs, Matplotlib appears as an ideal entry point with a low threshold to add this comfortable way of communicating with your code.

The purpose of this chapter is to demonstrate the basic principles of GUI programming within Matplotlib. The role of events, slider movements, or mouse clicks and their interaction...