Stochastic simulation

MATH-414

Reference material for Python

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Description

Useful links for Python beginners and other relevant information that will be useful for the lab sessions throughout the semester will be posted below

Page content

  • Python functions
Brief introduction to structuring functions in python 
https://www.tutorialspoint.com/python/python_functions.htm

  • SciPy.org
Getting started with Scipy

https://www.projects.scipy.org/getting-started.html

Tools to help MATLAB and R users get more acquaintance with Python

Numpy for MATLAB and R users:

http://mathesaurus.sourceforge.net/matlab-python-xref.pdf

Stepping from MATLAB to Python:

https://stsievert.com/blog/2015/09/01/matlab-to-python/

A list of discrete distributions available in Scipy.stats can be found in the following link:
https://docs.scipy.org/doc/scipy/tutorial/stats/discrete.html
A list of continuous distributions available in Scipy.stats can be found in the following link:
https://docs.scipy.org/doc/scipy/tutorial/stats/continuous.html 

All distributions include functions for basic statistical implementations such as random value generator and evaluation of cummulative distributions, density functions, inverse cummulative distribution, survival function, their log counterparts etc. 

  • matplotlib

Getting started with matplotlib

https://matplotlib.org/tutorials/index.html


  • Python tutorial

Getting started with Jupyter and python 

Jupyter: content/Jupyter%20tutorial.ipynb
Python : content/Python%20tutorial.ipynb