Jupyter/List

Gallery from IPython documentation:

• https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

Statsmodels library - documentation notebooks:

• https://github.com/statsmodels/statsmodels/wiki/Examples

Security applications/analysis:

• PCAP exploration: https://nbviewer.jupyter.org/gist/jtriley/3866987
• Detecting algorithmically generated domain names: https://nbviewer.jupyter.org/github/ClickSecurity/data_hacking/blob/master/dga_detection/DGA_Domain_Detection.ipynb
• More here: https://clicksecurity.github.io/data_hacking/
• Hierarchical clustering of syslogs
• Data from malware domain list
• SQL injection
• Browser Agent Fingerprinting
• PCAP exploration

tSNE visualization method:

• iris dataset: https://nbviewer.jupyter.org/github/danielfrg/py_tsne/blob/master/examples/iris.ipynb
• mnist dataset: https://nbviewer.jupyter.org/github/danielfrg/py_tsne/blob/master/examples/mnist.ipynb

PyTherm - python and thermodynamics lecture notes:

• https://nbviewer.jupyter.org/github/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb

Reaction simulation: theory and applications for numerical methods:

• https://nbviewer.jupyter.org/github/waltherg/notebooks/blob/master/2013-12-03-Crank_Nicolson.ipynb

Example Machine Learning notebook:

• https://nbviewer.jupyter.org/github/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb

News categorization using Naive Bayes via scikit-learn:

• https://nbviewer.jupyter.org/github/andressotov/News-Categorization-MNB/blob/master/News_Categorization_MNB%2010-oct-2017.ipynb

IPython notebooks for probabilistic methods/bayesian methods for hackers:

• https://nbviewer.jupyter.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Prologue/Prologue.ipynb

Conway's game of life:

• https://nbviewer.jupyter.org/gist/jiffyclub/3778422

IPython recipes:

• Github repository here: https://github.com/ipython-books/cookbook-code
• Longer list of notebooks here: https://ipython-books.github.io/cookbook/

IPython parallel pushing/executing/pulling (old):

• https://nbviewer.jupyter.org/gist/jtriley/3866987

Map Reduce and Python Spark API:

• https://nbviewer.jupyter.org/github/phelps-sg/python-bigdata/blob/master/src/main/ipynb/spark-mapreduce.ipynb

Visual PySpark notebook:

• https://nbviewer.jupyter.org/github/jkthompson/pyspark-pictures/blob/master/pyspark-pictures.ipynb

Pandas notebooks:

• https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks#pandas-for-data-analysis

GPFlow (Gaussian Process Modeling with TensorFlow): examples via notebooks:

• https://github.com/GPflow/GPflowOpt/tree/master/doc/source/notebooks