From 7d107a47a8870c0e1152f76fe2575ab339d69330 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Briatte?= Date: Wed, 26 Apr 2023 16:57:19 +0200 Subject: [PATCH] redocument Bokeh and add @m4rcs to credits --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 8bc169a..d3ce780 100755 --- a/README.md +++ b/README.md @@ -627,7 +627,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this > See also [Social Network Analysis with Python](https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 ([code](https://github.com/maksim2042/PyCon2012)). > For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) and [Awesome Python Books](https://github.com/Junnplus/awesome-python-books) lists. -- [Bokeh](https://bokeh.org/) - Interactive Data Visualization in the browser, from Python +- [bokeh](https://bokeh.org/) - Python library for interactive data visualization in the browser, with support for networks. - [dash-cytoscape](https://github.com/plotly/dash-cytoscape) - Interactive network visualization library in Python, powered by Cytoscape.js and Dash - [graph-tool](http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed. - [graphviz](https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language. @@ -964,9 +964,10 @@ Alden S. Klovdahl, [David Schoch](http://mr.schochastics.net/), [Jaewon Chung](https://github.com/j1c), [Benedek Rozemberczki](https://github.com/benedekrozemberczki), -[Alex Loftus](https://github.com/loftusa), -[Arun](https://github.com/arunppsg) and -[Filippo Menczer](https://cnets.indiana.edu/fil/) – +[Alex Loftus](https://github.com/loftusa), +[Arun](https://github.com/arunppsg), +[Filippo Menczer](https://cnets.indiana.edu/fil/) and +[Marc Schiller](https://github.com/m4rcs) – have waived all copyright and related or neighboring rights to this work. Thanks to [Robert J. Ackland](https://github.com/rjackland),