References used in the Numpy.Random project
References
Python, GitHub and Jupyter resources
- python.org
- Python for Data Analysis - Chapter 4 NumPy Basics: Arrays and Vectorised Computation by Wes McKinney
- Python Data Science Handbook by Jake VanderPlas
- Jake VanderPlas Website
- numpy quickstart tutorial
- numpy.random Reference guide
- NumPy Reference manual version 1.16 manual
- python - random library
- Section 4.6 of Python for Data Analysis by Wes McKinney
- GitHub Flavoured Markdown
- Jupyter Notebook documentation
- Jupyter Notebook Tips, Tricks, and Shortcuts
- python random docs
- LaTeX equations in Jupyter
- LaTeX cheat sheet from www.nyu.edu or wch.github.io
- w3resource.com
- scikit-learn tutorial
- pythonprogramming.net
Statistical Distributions
- realpython tutorial on random data
- The Poisson Distribution and Poisson Process Explained
- A Concrete Introduction to Probability (using Python) by Peter Norvig
- wolfram mathworld
- stattrek
- machinelearningmastery - discrete probability distributions
- Online Statistics Education online book
- probability for dummies
- datacamp probability distributions tutorial
- ucd sheet
- 6 common probability distributions blog
Binomial Distribution
Random Numbers
- pythonprogramming
- Khan academy random vs pseudorandom number generators
- machinelearningmaster - random number generators intro
- Analytics Training -random numbers applications
- blog on why randomness matters
Miscellaneous
- Numpy logo. David Cournapeau [BSD], via Wikimedia Commons