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Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays from Python. Helpful wrappers: interpret Python sequences, dictionaries, arrays, dataframes and IO streams as their Julia counterparts, and vice versa.
Features
- Call Python code from Julia and Julia code from Python via a symmetric interface
- Simple syntax, so the Python code looks like Python and the Julia code looks like Julia
- Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control
- Fast non-copying conversion of numeric arrays in either direction
- Helpful wrappers: interpret Python sequences, dictionaries, arrays, dataframes and IO streams as their Julia counterparts, and vice versa
- Tested on Windows, MacOS and Linux, 32- and 64-bit, Julia Julia 1.6.1 upwards and Python 3.7 upwards
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow PythonCall & JuliaCall
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