Python

Packages

PyCall.jl

PythonCall.jl

PythonCall.jl describes the differences from PyCall.jl in its README.

What about PyCall?

The existing package PyCall is another similar interface to Python. Here we note some key differences, but a more detailed comparison is in the documentation.

• PythonCall supports a wider range of conversions between Julia and Python, and the conversion mechanism is extensible.

• PythonCall by default never copies mutable objects when converting, but instead directly wraps the mutable object. This means that modifying the converted object modifies the original, and conversion is faster.

• PythonCall does not usually automatically convert results to Julia values, but leaves them as Python objects. This makes it easier to do Pythonic things with these objects (e.g. accessing methods) and is type-stable.

• PythonCall installs dependencies into a separate Conda environment for each Julia project. This means each Julia project can have an isolated set of Python dependencies.

• PythonCall supports Julia 1.6.1+ and Python 3.7+ whereas PyCall supports Julia 0.7+ and Python 2.7+.

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