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You're reading from  Mastering matplotlib

Product typeBook
Published inJun 2015
Reading LevelIntermediate
Publisher
ISBN-139781783987542
Edition1st Edition
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Authors (2):
Duncan M. McGreggor
Duncan M. McGreggor
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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.
Read more about Duncan M. McGreggor

Duncan M McGreggor
Duncan M McGreggor
author image
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.
Read more about Duncan M McGreggor

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The backend layer


Seasoned computer scientists, engineers, and software developers all know that one of the subtler and trickier problems that arise in our industry is naming. It sounds a bit silly and it is repeatedly the subject of jokes, but the difficulty remains—how do you speak or write explicitly on a subject whose very nature requires exquisite precision and yet has great ambiguity that arises in different contexts?

We have the same problem with the term backend. Here, as in so many other instances, the context is everything. Our context is matplotlib, a set of tools, and a framework where everything is done in support of the visualizing of data and their relationships. The term backend has to be viewed from this perspective to support the generation of plots. The matplotlib backend has nothing to do with other noteworthy backends such as databases, servers, messaging systems, or dispatchers of various sorts. The backend of matplotlib is an abstraction layer over various components...

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Mastering matplotlib
Published in: Jun 2015Publisher: ISBN-13: 9781783987542

Authors (2)

author image
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.
Read more about Duncan M. McGreggor

author image
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.
Read more about Duncan M McGreggor