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Matplotlib for Python Developers
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This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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8 Rezensionen
14 von 15 Kunden fanden die folgende Rezension hilfreich
Helps when starting, great for developers who want to embed
12. Februar 2010
Format:Taschenbuch
Matplotlib is a popular 2-dimensional plotting library used with Python. While Matplotlib is fairly powerful, I have always had trouble figuring out how to do what I needed from the documentation. I have found the online Matplotlib documentation adequate as a reference, but not very good for getting started (especially since Matplotlib uses some terms in what I would call a "non-standard" way).
Matplotlib for Python Developers by Sandro Tosi is a welcome addition to my bookshelf. It focuses on embedding Matplotlib in applications in GTK+, Qt 4, wxWidgets, and even various web frameworks such as Pylons and Django. But the fundamental elements of the scientific Python tool chain, such as NumPy and IPython, as well as a thorough tutorial of Matplotlib itself are discussed. Both the pylab/pyplot procedural interface (useful for interactive plotting) and object-oriented interface (useful for fine-tuning and more advanced usage) are covered. Over 2000 lines of example code are downloadable from the book site.
Seeing as I don't use Matplotlib regularly, I'm sure I will using this book frequently to brush up on Matplotlib basics. And this book would have saved me a lot of time when I was writing my only major Python project, a PyQt 4 application which embedded interactive Matplotlib graphics. While this book doesn't cover every detail of Matplotlib (the online docs are good for that), it will get you started no matter how you are using it.
The publisher has made a sample chapter on embedding Matplotlib in Qt4 available for download. More information, such as a full table of contents, is also available on the publisher's site.
Full disclosure: I received a review copy of this book.
Matplotlib for Python Developers by Sandro Tosi is a welcome addition to my bookshelf. It focuses on embedding Matplotlib in applications in GTK+, Qt 4, wxWidgets, and even various web frameworks such as Pylons and Django. But the fundamental elements of the scientific Python tool chain, such as NumPy and IPython, as well as a thorough tutorial of Matplotlib itself are discussed. Both the pylab/pyplot procedural interface (useful for interactive plotting) and object-oriented interface (useful for fine-tuning and more advanced usage) are covered. Over 2000 lines of example code are downloadable from the book site.
Seeing as I don't use Matplotlib regularly, I'm sure I will using this book frequently to brush up on Matplotlib basics. And this book would have saved me a lot of time when I was writing my only major Python project, a PyQt 4 application which embedded interactive Matplotlib graphics. While this book doesn't cover every detail of Matplotlib (the online docs are good for that), it will get you started no matter how you are using it.
The publisher has made a sample chapter on embedding Matplotlib in Qt4 available for download. More information, such as a full table of contents, is also available on the publisher's site.
Full disclosure: I received a review copy of this book.
5 von 5 Kunden fanden die folgende Rezension hilfreich
Decent introduction, but short on under-the-hood details
1. Februar 2011
Format:Taschenbuch|Von Amazon bestätigter Kauf
I picked up this book a while back and was looking forward to see if it offered any additional insights into the inner workings of Matplotlib (mpl) beyond what is provided with the mpl package. In general, I found the book to be good for someone looking for a Python-based data plotting tool along the lines of gnuplot or MATLAB, but not so useful for shedding any additional light on the details of the underlying classes and methods of mpl.
That being said, "Matplotlib for Python developers" does a pretty good job of introducing the reader to the basic capabilities of the mpl package. It describes how to write simple Python scripts to tackle common graphing tasks, and then how to pretty up the output for inclusion in a paper or presentation. What I found lacking was the kind of in-depth knowledge I wanted to see regarding embedding mpl into Python applications. For me it would have been more useful if it had at least included an index of mpl's classes and methods, with some discussion to build on what is already included with the mpl package. The examples given were fine, in and of themselves, but there is no real guidance as to how to take it beyond that. Some additional detailed examples of how to extend mpl's classes and what methods one might want to override would have been most useful.
All in all, it's a good place to start for someone who's never worked with Matplotlib before, and it offers the more advanced reader a sampler of what can be done with a little effort. I've been recommending this book to my colleagues who have expressed an interest in using Python to expand their repertoire beyond the realm of MATLAB and gnuplot. If a second edition includes some additional low-level technical details and examples (perhaps in a couple of appendices), then I think it could be a much more useful book and appeal to a wider audience.
That being said, "Matplotlib for Python developers" does a pretty good job of introducing the reader to the basic capabilities of the mpl package. It describes how to write simple Python scripts to tackle common graphing tasks, and then how to pretty up the output for inclusion in a paper or presentation. What I found lacking was the kind of in-depth knowledge I wanted to see regarding embedding mpl into Python applications. For me it would have been more useful if it had at least included an index of mpl's classes and methods, with some discussion to build on what is already included with the mpl package. The examples given were fine, in and of themselves, but there is no real guidance as to how to take it beyond that. Some additional detailed examples of how to extend mpl's classes and what methods one might want to override would have been most useful.
All in all, it's a good place to start for someone who's never worked with Matplotlib before, and it offers the more advanced reader a sampler of what can be done with a little effort. I've been recommending this book to my colleagues who have expressed an interest in using Python to expand their repertoire beyond the realm of MATLAB and gnuplot. If a second edition includes some additional low-level technical details and examples (perhaps in a couple of appendices), then I think it could be a much more useful book and appeal to a wider audience.
14 von 18 Kunden fanden die folgende Rezension hilfreich
A printout of the website
26. Oktober 2010
Format:Taschenbuch
I (thankfully) just picked up the pdf from the publisher's website. Only $10 wasted instead of the full price. It's literally a printout of the website, lightly reformatted.
Suffice it to say, I was pretty pissed.
Suffice it to say, I was pretty pissed.
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