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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Lectures on scientific computing with python, as 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.
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.