Book Image

Mastering Python Scientific Computing

Book Image

Mastering Python Scientific Computing

Overview of this book

Table of Contents (17 chapters)
Mastering Python Scientific Computing
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we extensively discussed computing on a computerized algebra system. We also saw symbol creation, the use of expressions, and basic arithmetic. Then we discussed equation solvers and covered functions for rational numbers, exponentials, and logarithms. We also discussed the functionality for polynomials, trigonometry, and complex numbers.

Topics such as linear algebra, calculus, vectors, and concepts related to physics were covered in the later part of the chapter. Finally, we discussed pretty printing, cryptography, and string parsing into an expression.

In the next chapter, we will have an exhaustive discussion on Python visual computing using matplotlib and pandas. We will cover how to visualize data and the results of computations. Using pandas, we will also cover data analysis for scientific computing.