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                        "text": "<style>\nh1 {\n    margin: 2em 0 0 0;\n    color: #2e484c;\n    font-family: 'Julius Sans One', sans-serif;\n    font-size: 1.8em;\n    text-transform: uppercase;\n}\na:link {\n    font-weight: bold;\n    text-decoration: none;\n    color: #0d8ba1;\n}\na:visited {\n    font-weight: bold;\n    text-decoration: none;\n    color: #1a5952;\n}\na:hover, a:focus, a:active {\n    text-decoration: underline;\n    color: #9685BA;\n}\np {\n    font: \"Libre Baskerville\", sans-serif;\n    text-align: justify;\n    text-justify: inter-word;\n}\ncode {\n    color: #336699;\n}\n<\/style>\n\n<h1>3d plots with Bokeh<\/h1>\n\n<p>\nThis example shows how Bokeh custom extension models can be used with\nBokeh server applications. While there are many great features built\ninto Bokeh, with custom extensions, and the Bokeh server, it becomes\nsimple to connect powerful Python tools for data analytics to almost\nany web tool, widget, or framework, even if it is not built into\nBokeh natively.\n<\/p>\n\n<p>\nThis example demonstrates connecting a Bokeh <code>ColumnDataSource<\/code>\nto the <a href=\"http://visjs.org/graph3d_examples.html\">VisJS Graph3d<\/a>\nlibrary. The 3d plot below is being continuously updated by periodic\ncallbacks in a Bokeh server application. You can pan to rotate the figure,\nscroll or pinch to zoom.\n<\/p>",
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