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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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A curated list of awesome Jupyter projects, libraries and resources
- jupyter-notebook
- jupyter
- jupyterhub
- jupyterlab
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Magic to display dynamic call graphs of Python function calls
- jupyter-notebook-extension
- ipython-magic
- python
- education