{"repo":"JuliaPy/PythonCall.jl","free":true,"listed":false,"github":"https://github.com/JuliaPy/PythonCall.jl","clone":"git clone https://github.com/JuliaPy/PythonCall.jl.git","description":"Python and Julia in harmony.","language":"Julia","stars":1064,"topics":["julia","python","interoperability","ffi"],"license":"MIT","category":"dev-tools","readme_excerpt":"PythonCall & JuliaCall 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. - Beautiful stack-traces. - Supports modern systems: tested on Windows, MacOS and Linux; 64-bit; Julia 1.10 upwards and Python 3.10 upwards. ⭐ If you like this, a GitHub star would be lovely thank you. ⭐ To get started, read the documentation. Example 1: Calling Python from Julia In this example, we use the Julia module PythonCall from a Pluto notebook to inspect the Iris dataset: - We load the Iris dataset as a Julia DataFrame using RDatasets. - We use pytable(df) to convert it to a Python Pandas DataFrame. - We use the Python package Seaborn to produce a pair-plot, which is automatically displayed. Example 2: Calling Julia from Python In this example we use the Python module JuliaCall from an IPython notebook to train a simple neural network: - We generate some random training data using Python's N","default_branch":null,"files":null,"tree":[],"storefront":"/r/JuliaPy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/JuliaPy/PythonCall.jl/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}