Mastering Matplotlib

Duncan M. McGreggor

ISBN 10: 1783987545 / ISBN 13: 9781783987542

Published by Packt Publishing Limited, GB, 2015

About this Item

About This BookCustomize, configure, and handle events, and interact with figures using matplotlibCreate highly intricate and complicated graphs using matplotlibExplore matplotlib's depths through examples and explanations in IPython notebooksWho This Book Is ForIf you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.

Seller Inventory # LU-9781783987542

Bibliographic Details

• Title: Mastering Matplotlib
• Publisher: Packt Publishing Limited, GB
• Publication Date: 2015
• Language: English
• ISBN 10: 1783987545
• ISBN 13: 9781783987542
• Binding: Paperback
• Condition: New
• Dimensions: 23.5W x 19.1H x 1.56D centimeters 23.5 centimeters width by 19.1 centimeters height by 1.56 centimeters depth

About this title

Synopsis

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of Matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.

About the Author

Duncan M. McGreggor

Duncan M. McGreggor, having programmed with GOTOs in the 1980s, has made up for that through community service by making open source contributions for more than 20 years. He has spent a major part of the past 10 years dealing with distributed and scientific computing (in languages ranging from Python, Common Lisp, and Julia to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the US Army, he spent considerable time working on projects related to MATLAB and Mathematica, which was a part of his physics and maths studies at the university. Since the mid 2000s, matplotlib and NumPy have figured prominently in many of the interesting problems that he has solved for his customers. With the most recent addition of the IPython Notebook, matplotlib and the suite of the Python scientific computing libraries remain some of his most important professional tools.