A collection of mathematical and statistical functions for scientific computing with Excel support.
## About Pymath
Pymath is a collection of mathematical and statistical functions encompassing several different fields such as linear algebra, numerical analysis, and number theory. The package is intended to work with other popular scientific computing packages such as numpy and scipy. Most functions in The pymath package are also available as Excel UDFs for users who prefer working in Excel. The pymath project is primarily a personal project intended to develop a deeper understanding of the mathematics and algorithmic implementations of various mathematical topics.
The documentation of the pymath package is available here:
The documentation for importing the pymath functions to use in Excel as UDFs is found here:
## Installation Requirements
- Python 2.7 or 3+
- Recommended to install the Anaconda distribution for your preferred version of Python if not installed already.
- Compatible with Windows, Mac and Linux OS.
- Excel UDFs are currently available in Windows only.
## Available Methods
- Linear Algebra
- Matrix Decomposition
- Vector and Matrix Norms
- Matrix Tests
- Numerical Analysis
- Polynomial Evaluation
- Roots of Polynomials
- Number Theory
- Binomial Coefficient
- Integer Factorization
- Greatest Common Divisor
- Prime Numbers
- Number Sequences
- Simulating Correlation Matrices
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|File Name & Hash SHA256 Hash Help||Version||File Type||Upload Date|
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