symbolica 1.3.1
Community-enhanced version of Symbolica: a blazing fast computer algebra system
Requires Python: >=3.7
Keywords: math, algebra, polynomial, expression, manipulation

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# Symbolica ⊆ Modern Computer Algebra

Symbolica is a blazing fast computer algebra system for Python and Rust, born of a need to push the boundaries of computations in science and enterprise.
Check out the live [Jupyter Notebook demo](https://colab.research.google.com/drive/1VAtND2kddgBwNt1Tjsai8vnbVIbgg-7D?usp=sharing)!

For documentation and more, see [symbolica.io](https://symbolica.io).



## Quick Example

Symbolica allows you to build and manipulate mathematical expressions, for example from a Jupyter Notebook:

<img width="600" alt="A demo of Symbolica" src="https://symbolica.io/resources/demo.light.svg">

You are able to perform these operations from the comfort of a programming language that you (probably) already know, by using Symbolica's bindings to Python and Rust:

<img width="600" alt="A demo of Symbolica" src="https://symbolica.io/resources/completion.light.png">

# Installation

Symbolica can be installed for Python >3.5 using `pip`:

```sh
pip install symbolica
```

Visit the [Get Started](https://symbolica.io/docs/get_started.html) page for detailed installation instructions.


# Examples

Below we list some examples of the features of Symbolica. Check the [guide](https://symbolica.io/docs/) for a complete overview.

### Pattern matching

Variables ending with a `_` are wildcards that match to any subexpression.
In the following example we try to match the pattern `f(w1_,w2_)`:

```python
from symbolica import *
x, y, w1_, w2_, f = S('x','y','w1_','w2_', 'f')
e = f(3,x)*y**2+5
r = e.replace_all(f(w1_,w2_), f(w1_ - 1, w2_**2))
print(r)
```
which yields `y^2*f(2,x^2)+5`.

### Solving a linear system

Solve a linear system in `x` and `y` with a parameter `c`:

```python
from symbolica import *

x, y, c, f = S('x', 'y', 'c', 'f')

x_r, y_r = Expression.solve_linear_system(
    [f(c)*x + y + c, y + c**2], [x, y])
print('x =', x_r, ', y =', y_r)
```
which yields `x = (-c+c^2)*f(c)^-1` and `y = -c^2`.

### Series expansion

Perform a series expansion in `x`:

```python
from symbolica import *
e = E('exp(5+x)/(1-x)').series(S('x'), 0, 3)

print(e)
```
which yields `(exp(5))+(2*exp(5))*x+(5/2*exp(5))*x^2+(8/3*exp(5))*x^3+𝒪(x^4)`.

### Rational arithmetic

Symbolica is world-class in rational arithmetic, outperforming Mathematica, Maple, Form, Fermat, and other computer algebra packages. Simply convert an expression to a rational polynomial:
```python
from symbolica import *
p = E('(x*y^2*5+5)^2/(2*x+5)+(x+4)/(6*x^2+1)').to_rational_polynomial()
print(p)
```
which yields `(45+13*x+50*x*y^2+152*x^2+25*x^2*y^4+300*x^3*y^2+150*x^4*y^4)/(5+2*x+30*x^2+12*x^3)`.


# Community packages

The PyPi version of Symbolica ships with the following community packages:
- [spenso](https://github.com/alphal00p/spenso): perform tensor network computations
- [idenso](https://github.com/alphal00p/spenso): perform Dirac and color algebra
- [vakint](https://github.com/alphal00p/vakint): compute massive vacuum bubbles

They can be accessed through:

```python
import symbolica.community.spenso
```

Example use can be found [here](https://github.com/benruijl/symbolica-community/tree/main/examples).

## Development

Follow the development and discussions on [Zulip](https://reform.zulipchat.com)!