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Christopher Doris
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README.md

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# JuliaPy.github.io
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The [JuliaPy](https://github.com/JuliaPy) organisation on GitHub is the home for Julia-Python interoperability, providing packages to bridge the gap between these two excellent and complementary languages.
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Within this, there are two ecosystems of packages, one centered around **PythonCall.jl** and the other around **PyCall.jl**. While PythonCall is newer and more actively maintained, both are popular and power many wrapper packages outside of this org.
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## The PythonCall ecosystem
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* **PythonCall.jl** ([repo](https://github.com/JuliaPy/PythonCall.jl)):
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A Julia package that lets you call Python code. Installs any Python dependencies
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automatically using CondaPkg.jl. Comes "batteries included" with support for numpy
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arrays, tabular data, multimedia display and more.
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* **pyjuliacall** ([repo](https://github.com/JuliaPy/PythonCall.jl)):
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A Python package that lets you call Julia code - the Python side of PythonCall.jl. In
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fact this package is mostly implemented in Julia as part of PythonCall, they are two
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sides of the same codebase. This makes interoperation more symmetric and predictable
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from either side. Installs any Julia dependencies automatically using pyjuliapkg.
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* **CondaPkg.jl** ([repo](https://github.com/JuliaPy/CondaPkg.jl)):
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A Conda package manager for Julia, like Pkg but for Conda. You declare your Julia
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project's Conda/PyPI dependencies in a CondaPkg.toml file (anaologous to Project.toml)
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and it automatically creates a Conda environment specific to your project with these in.
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Used by default by PythonCall for package management.
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* **pyjuliapkg** ([repo](https://github.com/JuliaPy/pyjuliapkg)):
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The Python analogue of CondaPkg.jl, namely a Python package which reads your Julia
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dependencies from a juliapkg.json file and automatically installs Julia and any
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required packages into a Julia project specific to your Python/Conda environment.
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Used by default by pyjuliacall.
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* **PythonPlot.jl** ([repo](https://github.com/JuliaPy/PythonPlot.jl)):
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A Julia plotting package wrapping matplotlib. A port of PyPlot.jl to use PythonCall.jl.
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* **MicroMamba.jl** ([repo](https://github.com/JuliaPy/MicroMamba.jl)):
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Makes the micromamba implementation of Conda available. Mostly an implementation
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detail of CondaPkg.jl.
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* Plus many more [external packages...](https://juliahub.com/ui/Packages/General/PythonCall#dependents)
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## The PyCall ecosystem
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* **PyCall.jl** ([repo](https://github.com/JuliaPy/PyCall.jl)):
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Another Julia package that lets you call Python code. Older than PythonCall but still
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popular and maintained.
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* **pyjulia** ([repo](https://github.com/JuliaPy/pyjulia)):
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Another Python package that lets you call Julia code. Experimental and deprecated in
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favour of pyjuliacall.
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* **Conda.jl** ([repo](https://github.com/JuliaPy/Conda.jl)):
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Makes Conda available and lets you install packages manually into a central Julia-wide
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Conda environment. Used by PyCall.jl to automatically install Python and packages.
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* **SymPy.jl** ([repo](https://github.com/JuliaPy/SymPy.jl)):
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A Julia wrapper of the Python SymPy library.
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* **PyPlot.jl** ([repo](https://github.com/JuliaPy/PyPlot.jl)):
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A Julia plotting package wrapping matplotlib.
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* **Pandas.jl** ([repo](https://github.com/JuliaPy/Pandas.jl)):
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A Julia wrapper of the Python Pandas library, making DataFrames available in Julia.
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* **Seaborn.jl** ([repo](https://github.com/JuliaPy/Seaborn.jl)):
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A Julia plotting package wrapping Seaborn.
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* **PyCallJLD.jl** ([repo](https://github.com/JuliaPy/PyCallJLD.jl)):
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An integration allowing Python objects to be saved using JLD.jl.
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* **PyInteract.jl** ([repo](https://github.com/JuliaPy/PyInteract.jl)):
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Provides Julia support for IPython-based interactive widgets.
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* Plus many more [external packages...](https://juliahub.com/ui/Packages/General/PyCall#dependents)
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## Join the discussion!
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* You can create issues or discussions on any of our GitHub repos.
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* The [Julia Discourse forum](https://discourse.julialang.org/) is a good place to ask
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questions. Using the 'PythonCall' or 'PyCall' tags helps.
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* The [Julia Slack](https://julialang.org/slack/) is good for quick questions. We'd
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recommend [#expytriates](https://julialang.slack.com/archives/CQG6KQMR7) but many just
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use [#helpdesk](https://julialang.slack.com/archives/C6A044SQH).

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