Jupyter/List - Revision history

Admin at 11:57, 30 November 2017

2017-11-30T11:57:07Z

← Older revision		Revision as of 11:57, 30 November 2017
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	Scikit DSP and SDR:		Scikit DSP and SDR:
	* https://github.com/mwickert/SP-Comm-Tutorial-using-scikit-dsp-comm		* https://github.com/mwickert/SP-Comm-Tutorial-using-scikit-dsp-comm

			Statistical mechanics notebooks:
			* http://pages.physics.cornell.edu/~sethna/StatMech/ComputerExercises.html

	Security applications/analysis:		Security applications/analysis:

Admin at 05:19, 29 November 2017

2017-11-29T05:19:10Z

← Older revision		Revision as of 05:19, 29 November 2017
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	Statsmodels library - documentation notebooks:		Statsmodels library - documentation notebooks:
	* https://github.com/statsmodels/statsmodels/wiki/Examples		* https://github.com/statsmodels/statsmodels/wiki/Examples

			Scikit DSP and SDR:
			* https://github.com/mwickert/SP-Comm-Tutorial-using-scikit-dsp-comm

	Security applications/analysis:		Security applications/analysis:

Admin at 23:09, 28 November 2017

2017-11-28T23:09:57Z

← Older revision		Revision as of 23:09, 28 November 2017
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	* https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks#pandas-for-data-analysis		* 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

	[[Category:IPython]]		[[Category:IPython]]

Admin at 23:08, 28 November 2017

2017-11-28T23:08:58Z

← Older revision		Revision as of 23:08, 28 November 2017
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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]]

Admin at 22:50, 28 November 2017

2017-11-28T22:50:07Z

← Older revision		Revision as of 22:50, 28 November 2017
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	Statsmodels library - documentation notebooks:		Statsmodels library - documentation notebooks:
	* https://github.com/statsmodels/statsmodels/wiki/Examples		* https://github.com/statsmodels/statsmodels/wiki/Examples

			Security applications/analysis:
			* 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:		tSNE visualization method:

Admin at 22:44, 28 November 2017

2017-11-28T22:44:35Z

← Older revision		Revision as of 22:44, 28 November 2017
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	* iris dataset: https://nbviewer.jupyter.org/github/danielfrg/py_tsne/blob/master/examples/iris.ipynb		* 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		* 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

	Example Machine Learning notebook:		Example Machine Learning notebook:

Admin at 22:42, 28 November 2017

2017-11-28T22:42:40Z

← Older revision		Revision as of 22:42, 28 November 2017
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	* iris dataset: https://nbviewer.jupyter.org/github/danielfrg/py_tsne/blob/master/examples/iris.ipynb		* 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		* mnist dataset: https://nbviewer.jupyter.org/github/danielfrg/py_tsne/blob/master/examples/mnist.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:		News categorization using Naive Bayes via scikit-learn:

Admin at 22:41, 28 November 2017

2017-11-28T22:41:25Z

← Older revision		Revision as of 22:41, 28 November 2017
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	Statsmodels library - documentation notebooks:		Statsmodels library - documentation notebooks:
	* https://github.com/statsmodels/statsmodels/wiki/Examples		* https://github.com/statsmodels/statsmodels/wiki/Examples

			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

	News categorization using Naive Bayes via scikit-learn:		News categorization using Naive Bayes via scikit-learn:

Admin at 22:36, 28 November 2017

2017-11-28T22:36:05Z

← Older revision		Revision as of 22:36, 28 November 2017
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	Gallery from IPython documentation:		Gallery from IPython documentation:
	* https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks		* https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

			Statsmodels library - documentation notebooks:
			* https://github.com/statsmodels/statsmodels/wiki/Examples

	News categorization using Naive Bayes via scikit-learn:		News categorization using Naive Bayes via scikit-learn:

Admin at 22:35, 28 November 2017

2017-11-28T22:35:14Z

← Older revision		Revision as of 22:35, 28 November 2017
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	Gallery from IPython documentation: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks		Gallery from IPython documentation:
			* https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

	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		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		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		Conway's game of life:
			* https://nbviewer.jupyter.org/gist/jiffyclub/3778422

	IPython recipes:		IPython recipes: