https://github.com/cjdoris/pythonexec.jl

Execute Python code from Julia
https://github.com/cjdoris/pythonexec.jl

Last synced: 24 days ago
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Execute Python code from Julia

• Host: GitHub
• URL: https://github.com/cjdoris/pythonexec.jl
• Owner: cjdoris
• License: mit
• Created: 2022-06-13T18:56:16.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-17T16:52:34.000Z (over 2 years ago)
• Last Synced: 2023-03-04T01:35:27.915Z (over 1 year ago)
• Language: Julia
• Size: 17.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PythonExec.jl

Execute Python code from Julia.

## Install

```

pkg> add https://github.com/cjdoris/PythonExec.jl

```

## Usage

The API mainly consists of one function `pyexec` which executes the given piece of Python

code:

```

julia> pyexec("print('hello from python')")

hello from python

```

If the `ans` variable is assigned in the code, then its value will be returned:

```

julia> pyexec("ans = 1 + 2")

3

```

You may specify some input variables with the `locals` argument:

```

julia> pyexec("ans = x + y", locals=(x=10, y=2))

12

```

You may optionally specify a return type to override the default behaviour:

```

julia> pyexec(Symbol, "ans = 'hello'")

:hello

```

Multidimensional buffers and numpy arrays are supported:

```

julia> pyexec("import numpy; ans = numpy.random.randn(2,3)")

2×3 Matrix{Float64}:

  2.23817   -1.02546   0.558285

 -0.901372  -0.227179  1.17542

```

## Packages

By default, [CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl) is used to install Python

and any packages required. Use `CondaPkg.add()` to add any Python packages you need.