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-70%Mastering matplotlib—
$21.79
$6.54The Story
A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
About This Book
Customize, configure, and handle events, and interact with figures using matplotlib Create highly intricate and complicated graphs using matplotlib Explore matplotlib's depths through examples and explanations in IPython notebooks
Who This Book Is For
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.
What You Will Learn
Analyze the matplotlib code base and its internals Re-render visualized data on the fly based on changes in the user interface Take advantage of sophisticated third-party libraries to plot complex data relationships Create custom styles for use in specialize publications, presentations, or online media Generate consolidated master plots comprising many subplots for dashboard-like results Deploy matplotlib in Cloud environments Utilize matplotlib in big data projects
In Detail
matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process.
You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor.
Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots.
Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering.
ASIN: 1783987545
VSKU: BVV.1783987545.G
Condition: Good
Author/Artist:Mcgreggor, Duncan
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
ASIN: 1783987545
VSKU: BVV.1783987545.G
Condition: Good
Author/Artist:Mcgreggor, Duncan
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
Description
A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
About This Book
Customize, configure, and handle events, and interact with figures using matplotlib Create highly intricate and complicated graphs using matplotlib Explore matplotlib's depths through examples and explanations in IPython notebooks
Who This Book Is For
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.
What You Will Learn
Analyze the matplotlib code base and its internals Re-render visualized data on the fly based on changes in the user interface Take advantage of sophisticated third-party libraries to plot complex data relationships Create custom styles for use in specialize publications, presentations, or online media Generate consolidated master plots comprising many subplots for dashboard-like results Deploy matplotlib in Cloud environments Utilize matplotlib in big data projects
In Detail
matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process.
You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor.
Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots.
Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering.
ASIN: 1783987545
VSKU: BVV.1783987545.G
Condition: Good
Author/Artist:Mcgreggor, Duncan
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
ASIN: 1783987545
VSKU: BVV.1783987545.G
Condition: Good
Author/Artist:Mcgreggor, Duncan
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
