1661112420

# LinearExpressions.jl: Linear Symbolic Expressions for Julia Language

## LinearExpressions

Linear symbolic expressions for the Julia language

## Examples

``````julia> using LinearExpressions

julia> a, b, c, d, w, x, y, z = map(RealVariable, [:a, :b, :c, :d, :w, :x, :y, :z])
8-element Array{TypedVariable{Real},1}:
a
b
c
d
w
x
y
z

julia> 2x
2x

julia> 2x + 1
1 + 2x

julia> 4 * (3 + 2x)
12 + 8x

julia> x - x == 0
true

julia> le = x + y + 2.3 * (w + z) - 3.4 * (a + b) - c - d + 1.23
1.23 - d - 3.4b - 3.4a + y + 2.3w + 2.3z - c + x

julia> le + 3*le
4.92 - 4.0d - 13.6b - 13.6a + 4.0y + 9.2w + 9.2z - 4.0c + 4.0x

julia> [x y; y 1] + [1.5 2; 3 4] * [x 0; z 0]
2x2 Array{LinExpr{Float64,TypedVariable{Real}},2}:
2.0z+2.5x    y
y+4.0z+3.0x  1.0

julia> [1 2; 2 1] + [0.0 1.2; 1.2 0.0]*x + 4*eye(2)*y
1    2
2    1

+

4    0
0    4
y

+

0    1.2
1.2    0
x``````

## Install

Within Julia:

``````Pkg.clone("git://github.com/cdsousa/LinearExpressions.jl.git")
``````

Author: cdsousa
Source Code: https://github.com/cdsousa/LinearExpressions.jl

1661112420

## LinearExpressions

Linear symbolic expressions for the Julia language

## Examples

``````julia> using LinearExpressions

julia> a, b, c, d, w, x, y, z = map(RealVariable, [:a, :b, :c, :d, :w, :x, :y, :z])
8-element Array{TypedVariable{Real},1}:
a
b
c
d
w
x
y
z

julia> 2x
2x

julia> 2x + 1
1 + 2x

julia> 4 * (3 + 2x)
12 + 8x

julia> x - x == 0
true

julia> le = x + y + 2.3 * (w + z) - 3.4 * (a + b) - c - d + 1.23
1.23 - d - 3.4b - 3.4a + y + 2.3w + 2.3z - c + x

julia> le + 3*le
4.92 - 4.0d - 13.6b - 13.6a + 4.0y + 9.2w + 9.2z - 4.0c + 4.0x

julia> [x y; y 1] + [1.5 2; 3 4] * [x 0; z 0]
2x2 Array{LinExpr{Float64,TypedVariable{Real}},2}:
2.0z+2.5x    y
y+4.0z+3.0x  1.0

julia> [1 2; 2 1] + [0.0 1.2; 1.2 0.0]*x + 4*eye(2)*y
1    2
2    1

+

4    0
0    4
y

+

0    1.2
1.2    0
x``````

## Install

Within Julia:

``````Pkg.clone("git://github.com/cdsousa/LinearExpressions.jl.git")
``````

Author: cdsousa
Source Code: https://github.com/cdsousa/LinearExpressions.jl

1666142220

## Symata.jl

Symbolic mathematics language

## Examples and help

Static snapshots of Symata tutorial notebooks at `nbviewer.jupyter.org`. These are the same notebooks found in the TutorialNotebooks directory in this repositoy. But the rendering at `nbviewer` is better.

Symata-language test directory (note this is `symata_test`, not `test`)

When running Symata

• `TAB` completion
• `? Topic` (with completion)
• `h"word"` regular expression search
• `Help()` and `Help(topic)`

NumericalMethodsforEngineers.jl uses Symata. Example code is found in

If you have a question or a request, or want to contribute, please open an issue here on github.

## What is Symata?

a language for symbolic computations and mathematics, where, for the most part, "mathematics" means what it typically does for a scientist or engineer.

a language based mostly on expressions, on "evaluating" and rewriting them, like Wolfram, Maple, or Maxima. It is neither a language, nor an extension of a language, that is mostly procedural, or designed around data types and functions, or a hierarchy of classes, etc., like C or Python or Java. Nor is it language like Sage; that is, one meant to provide a unifying interface to a number of mathematics languages with various programming models.

meant to be useful to people who do not like to program computers, as well as those who do. The former includes people who prefer not to think about classes, methods, objects, dispatch, stack traces, etc.

Symata is largely modeled on the pattern matching and evaluation sequence of Mathematica. Evaluation, pattern matching, flow control, etc. are written in Julia. Much of the mathematics and symbolic manipulation is achieved by wrapping SymPy. There are more than 600 functions implemented, including integration, transformation of special functions, expression manipulation, writing and reading expressions to and from a file etc.

## Installing

Symata is a registered module. It can be installed like this

``````(v0.7) pkg> add Symata
julia> using Symata
symata> Help()    # type '=' alone on a line to enter symata mode
``````

`Symata` can be installed on Linux, OSX, and Windows.

`Symata` depends on the `PyCall` package and the python SymPy module. You can install SymPy via `pip install sympy`. Symata is compatible with SymPy v1.0 and v1.2 (and probably v1.1).

Alternatively, you may install SymPy via `Conda.jl`. When you load `Symata` with `using Symata`, `sympy` is installed automatically via `PyCall`, which uses `Conda`. However, to do this, `PyCall` must be configured to not use you system version of `python`. If you do not have `PyCall` installed, do this

``````julia> ENV["PYTHON"]=""
``````

If you do have `PyCall` installed, but it is configured to use your system `python`, reconfigure it like this.

``````julia> ENV["PYTHON"]=""
julia> Pkg.build("PyCall")
``````

If you use linux, you may have your distribution's `sympy` package installed and it may be out of date. In this case, try the procedure above, and/or try removing your distribution's `sympy` package.

#### note

`SymPy`, or `sympy`, here refers to the python SymPy distribution (sometimes called sympy), not the Julia package `SymPy`. `Symata` does not require the Julia package SymPy.jl, which has a different goal.

Symata requires `mpmath` package for python. This should be automatically installed when installing `sympy` via `PyCall` as described above. This also works on OSX. However, if you use `pip`, you should just be able to run `pip install mpmath`.

## Running Symata

See below for instructions on precompiling Symata to get more-or-less instant start up and many precompiled function calls.

Three environments for running `Symata` are supported: the `Julia` REPL, `Jupyter`, and a dumb terminal.

### Symata REPL mode

A `Symata` mode is added to the `Julia` REPL. Enter the mode by typing `=` as the first character. Exit the mode by typing `backspace` as the first character.

``````julia> using Symata

symata 1>     # after entering `=`
``````

Under some circumstances, e.g. when using `PackageCompiler`, the `Symata` repl is not initialized after the module is loaded. You can initialize it with the exported Julia command `run_repl`. After this, the repl is entered with the `=` key. An executable `./scripts/symata` is included. It is a (UNIX sh) shell script that just starts julia, loads the module, and enters `Symata` mode. There is also a script `./scripts/symatap` for starting from an image with Symata precompiled. (See below.) Switch between `Julia` and `Symata` modes by typing `=`, or backspace, as the first character on a line. You can do tab completion to see a list of functions and symbols.

### Jupyter / IJulia

``````In [1]:  using Symata

In [2]:  Expand((a+b)^2)

Out[2]:  a^2 + 2a*b + b^2

``````

In `Jupyter`, the `Symata` expressions `In(n)` and `Out(n)` reevaluate the input and output cells. TAB completion works in `Jupyter`. To see a list of all possible completions, type `*[TAB]`.

### Dumb terminal

If you do `using Symata` in a dumb terminal, the `Symata` prompt should appear automatically.

### sympy shell

From the julia prompt, type `isympy()` to enter the sympy shell.

## NEW! Instant Symata

You can precompile Symata. It will load very quickly and be generally much more responsive. The script `./scripts/gen_compile_symata.sh` writes a Julia image. The shell script `./scripts/symatap` runs Julia with this image and immediately enters the Symata repl. See the contents of these files if you can't run shell scripts on your platform.

### Instant Symata with Jupyter

You can install a Jupyter kernel using the precompiled image. You must not insert any whitespace between `-J` and the path to the image.

``````julia> using IJulia
``````

## Tests

Run the test suite from the `symata` prompt with `Tests()`. This runs tests in the symata_test directory `Pkg.test("Symata")` runs the same test suite from `Julia` and some Julia-level unit tests, as well.

Author: jlapeyre
Source Code: https://github.com/jlapeyre/Symata.jl

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