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IPython Notebook Essentials

You're reading from IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

Product type Paperback

Published in Nov 2014

Publisher

ISBN-13 9781783988341

Length 190 pages

Edition 1st Edition

Tools

IPython

Concepts

Scientific Computing

Author (1):

Luiz Felipe Martins

View More author details

Table of Contents (10) Chapters

Preface

1. A Tour of the IPython Notebook FREE CHAPTER

2. The Notebook Interface

3. Graphics with matplotlib

4. Handling Data with pandas

5. Advanced Computing with SciPy, Numba, and NumbaPro

A. IPython Notebook Reference Card

B. A Brief Review of Python

C. NumPy Arrays

Index

Summary

In this chapter, we learned how to use matplotlib to produce presentation-quality plots. We covered two-dimensional plots and how to set plot options, and annotate and configure plots. You also learned how to add labels, titles, and legends. We also learned how to draw three-dimensional surface plots and how to create simple animations.

In the next chapter, we will explore how to work with data in the notebook using the pandas library.

The rest of the chapter is locked

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Authors (1)

Martins

Martins

Luiz Felipe Martins holds a PhD in applied mathematics from Brown University and has worked as a researcher and educator for more than 20 years. His research is mainly in the field of applied probability. He has been involved in developing code for the open source homework system, WeBWorK, where he wrote a library for the visualization of systems of differential equations. He was supported by an NSF grant for this project. Currently, he is an Associate Professor in the Department of Mathematics at Cleveland State University, Cleveland, Ohio, where he has developed several courses in applied mathematics and scientific computing. His current duties include coordinating all first-year calculus sessions.

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