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https://github.com/davidohnee/anlis

Analysis for Python
https://github.com/davidohnee/anlis

analysis library mathematics maths numpy python python-library python3 sympy university

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Analysis for Python

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# ANLIS - Analysis for Python

ANLIS is a Python package for [analysis](https://en.wikipedia.org/wiki/Mathematical_analysis) built on top of [numpy]( https://www.numpy.org/ ) and [sympy]( https://www.sympy.org/en/index.html ). ANLIS provides a set of functions to perform analysis tasks. ANLIS is a work in progress and currently supports the following tasks (and some more):

- Series
- Plotting any series
- Arithmetic Series
- Finding $a_n$ from two elements
- Geometric Series
- Finding $a_n$ from two elements
- Finding the sum of an infinite series (based on ratio and first element *or* two elements)
- Convergence
- Determining if a sequence is convergent (or divergent)
- Convergence Tests
- Derivatives
- Finding the critical points of a function
- Finding the extrema of a function
- Vectors
- Finding the magnitude of a vector
- Finding the unit vector of a vector
- Finding the dot product of two vectors
- Taylor Series
- Finding the Taylor Series of a function
- Finding the Taylor Polynomial of a function
- Finding the Lagrange Remainder of a function
- Integrals
- Left/Right Riemann Sums
- Trapezoidal Rule
- Simpson's Rule
- Differentials (e.g. for error analysis)
- Absolute differential
- Relative differential
- Multidimensional Calculus
- Critical points
- Finding critical points
- Finding extrema
- Derivatives
- Finding the (or all) partial derivatives of a function
- Finding partial derivatives of composite functions
- Finding the gradient of a function
- Finding the Jacobian of a function
- Finding the determinant of a function
- Finding the linearisation of a function
- Solving with Newton-Raphson
- Finding the directional derivative of a function
- Contour Lines
- Finding the contour lines of a function
- Finding the tangent lines of contour lines
- Plotting the contour lines of a function (2D or 3D)
- Differentials (e.g. for error analysis)
- Absolute differential
- Relative differential
- Total differential

The [wiki](https://github.com/dxstiny/anlis/wiki) contains more information on the functions along with examples and when to use them.