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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.
Ready-to-run Docker images containing Jupyter applications
Instructional notebooks on music information retrieval.
A py.test plugin to validate Jupyter notebooks
Pytest in IPython notebooks.
WebRTC for Jupyter notebook/lab