Book Image

SciPy Recipes

By : V Kishore Ayyadevara, Ruben Oliva Ramos
Book Image

SciPy Recipes

By: V Kishore Ayyadevara, Ruben Oliva Ramos

Overview of this book

With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Table of Contents (11 chapters)

Using ode and the objected-oriented interface to solve differential equations

In the following section, we will see how to use ode and the object-oriented interface and how to solve differential equations using it.

Getting ready

We will need to have the prerequisites, such as scipy.integrate.odeint.

How to do it...

Some parameters are included in the following tables; we need to execute them:

  1. Get the function accordingly
  2. Name the following parameters
  3. Execute it
  4. Get the solution
Parameters

func: callable(y, t0, ...). This computes the derivative of y at t0.

y0: Array...