Jupyter/List: Difference between revisions
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Security applications/analysis: | 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 | * 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/ | * More here: https://clicksecurity.github.io/data_hacking/ | ||
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PyTherm - python and thermodynamics lecture notes: | PyTherm - python and thermodynamics lecture notes: | ||
* https://nbviewer.jupyter.org/github/iurisegtovich/PyTherm-applied-thermodynamics/blob/master/index.ipynb | * 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: | Example Machine Learning notebook: | ||
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* Longer list of notebooks here: https://ipython-books.github.io/cookbook/ | * 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 | |||
[[Category:IPython]] | [[Category:IPython]] | ||
Revision as of 23:08, 28 November 2017
Gallery from IPython documentation:
Statsmodels library - documentation notebooks:
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:
Reaction simulation: theory and applications for numerical methods:
Example Machine Learning notebook:
News categorization using Naive Bayes via scikit-learn:
IPython notebooks for probabilistic methods/bayesian methods for hackers:
Conway's game of life:
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):
Map Reduce and Python Spark API:
Visual PySpark notebook:
Pandas notebooks: