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donnemartin / data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Add notebook for Bokeh #4

Open donnemartin opened 9 years ago

donnemartin commented 9 years ago

"Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications."

Bokeh seems like a good candidate to feed data from Spark streaming and sharing results to stakeholders who don't use visualization tools like Tableau.

Bokeh at Pycon

donnemartin commented 9 years ago

Additional references: Index: http://nbviewer.ipython.org/github/bokeh/bokeh-notebooks/blob/master/index.ipynb Quick start: http://nbviewer.ipython.org/github/bokeh/bokeh-notebooks/blob/master/quickstart/quickstart.ipynb