Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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.

An interactive HTML pretty-printer for machine learning research in IPython notebooks.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Various ipython notebooks

Ipython notebooks for math and finance tutorials

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.