transfer to JuliaPy org

Author: Christopher Doris

.github/ISSUE_TEMPLATE/help---support.md

@@ -7,4 +7,4 @@ assignees: ''
 
 ---
 
-Please direct any other questions to [github discussions](https://github.com/cjdoris/PythonCall.jl/discussions).
+Please direct any other questions to [github discussions](https://github.com/JuliaPy/PythonCall.jl/discussions).

CITATION.bib

@@ -2,5 +2,5 @@ @misc{PythonCall.jl
   author = {Rowley, Christopher},
   title = {PythonCall.jl: Python and Julia in harmony},
   year  = {2022},
-  url   = {https://github.com/cjdoris/PythonCall.jl},
+  url   = {https://github.com/JuliaPy/PythonCall.jl},
 }

README.md

@@ -1,10 +1,10 @@
-<h1><img src="https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/docs/src/assets/logo.png" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
+<h1><img src="https://raw.githubusercontent.com/JuliaPy/PythonCall.jl/main/docs/src/assets/logo.png" alt="PythonCall.jl logo" style="width: 100px;"><br>PythonCall &amp;&nbsp;JuliaCall</h1>
 
 [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
-[![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://cjdoris.github.io/PythonCall.jl/stable)
-[![Dev Documentation](https://img.shields.io/badge/docs-dev-blue.svg)](https://cjdoris.github.io/PythonCall.jl/dev)
-[![Tests](https://github.com/cjdoris/PythonCall.jl/actions/workflows/tests.yml/badge.svg)](https://github.com/cjdoris/PythonCall.jl/actions/workflows/tests.yml)
-[![Codecov](https://codecov.io/gh/cjdoris/PythonCall.jl/branch/main/graph/badge.svg?token=A813UUIHGS)](https://codecov.io/gh/cjdoris/PythonCall.jl)
+[![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliapy.github.io/PythonCall.jl/stable)
+[![Dev Documentation](https://img.shields.io/badge/docs-dev-blue.svg)](https://juliapy.github.io/PythonCall.jl/dev)
+[![Tests](https://github.com/JuliaPy/PythonCall.jl/actions/workflows/tests.yml/badge.svg)](https://github.com/JuliaPy/PythonCall.jl/actions/workflows/tests.yml)
+[![Codecov](https://codecov.io/gh/JuliaPy/PythonCall.jl/branch/main/graph/badge.svg?token=A813UUIHGS)](https://codecov.io/gh/JuliaPy/PythonCall.jl)
 [![PkgEval](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/P/PythonCall.svg)](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/P/PythonCall.html)
 
 Bringing [**Python®**](https://www.python.org/) and [**Julia**](https://julialang.org/) together in seamless harmony:
@@ -18,7 +18,7 @@ Bringing [**Python®**](https://www.python.org/) and [**Julia**](https://juliala
 
 ⭐ If you like this, a GitHub star would be lovely thank you. ⭐
 
-To get started, read the [documentation](https://cjdoris.github.io/PythonCall.jl/stable).
+To get started, read the [documentation](https://juliapy.github.io/PythonCall.jl/stable).
 
 ## Example 1: Calling Python from Julia
 
@@ -27,7 +27,7 @@ In this example, we use the Julia module PythonCall from a [Pluto](https://githu
 - We use `pytable(df)` to convert it to a Python [Pandas DataFrame](https://pandas.pydata.org/).
 - We use the Python package [Seaborn](https://seaborn.pydata.org/) to produce a pair-plot, which is automatically displayed.
 
-![Seaborn example screenshot](https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/examples/seaborn.png)
+![Seaborn example screenshot](https://raw.githubusercontent.com/JuliaPy/PythonCall.jl/main/examples/seaborn.png)
 
 ## Example 2: Calling Julia from Python
 
@@ -36,7 +36,7 @@ In this example we use the Python module JuliaCall from an IPython notebook to t
 - We construct and train a neural network model using Julia's Flux.
 - We plot some sample output from the model using Python's MatPlotLib.
 
-![Flux example screenshot](https://raw.githubusercontent.com/cjdoris/PythonCall.jl/main/examples/flux.png)
+![Flux example screenshot](https://raw.githubusercontent.com/JuliaPy/PythonCall.jl/main/examples/flux.png)
 
 ## What about PyCall?
 

docs/make.jl

@@ -55,5 +55,5 @@ makedocs(
 )
 
 deploydocs(
-    repo = "github.com/cjdoris/PythonCall.jl.git",
+    repo = "github.com/JuliaPy/PythonCall.jl.git",
 )

docs/src/faq.md

@@ -13,10 +13,10 @@ Some rules if you are writing multithreaded code:
   If unhandled, these segfaults will result in termination of the process. To enable signal handling,
   set `PYTHON_JULIACALL_HANDLE_SIGNALS=yes` before any calls to import juliacall. This is equivalent
   to starting julia with `julia --handle-signals=yes`, the default behavior in Julia. 
-  See discussion [here](https://github.com/cjdoris/PythonCall.jl/issues/219#issuecomment-1605087024) for more information.
+  See discussion [here](https://github.com/JuliaPy/PythonCall.jl/issues/219#issuecomment-1605087024) for more information.
 - You may still encounter problems.
 
-Related issues: [#201](https://github.com/cjdoris/PythonCall.jl/issues/201), [#202](https://github.com/cjdoris/PythonCall.jl/issues/202)
+Related issues: [#201](https://github.com/JuliaPy/PythonCall.jl/issues/201), [#202](https://github.com/JuliaPy/PythonCall.jl/issues/202)
 
 ## Does it work on Apple silicon (ARM, M1, M2, ...)?
 
@@ -48,7 +48,7 @@ Py(x).to_numpy()
 
 If the array is being mutated, you will need to pass the argument `copy=false`.
 
-Related issues: [#280](https://github.com/cjdoris/PythonCall.jl/issues/280)
+Related issues: [#280](https://github.com/JuliaPy/PythonCall.jl/issues/280)
 
 ## Heap corruption when using PyTorch
 
@@ -62,7 +62,7 @@ Python(65251,0x104cf8580) malloc: *** set a breakpoint in malloc_error_break to
 
 A solution is to ensure that `juliacall` is imported before `torch`.
 
-Related issues: [#215](https://github.com/cjdoris/PythonCall.jl/issues/215)
+Related issues: [#215](https://github.com/JuliaPy/PythonCall.jl/issues/215)
 
 ## `ccall requires the compiler` error when importing some Python libraries
 On some systems, you may see an error like the following when import e.g. `matplotlib` before `juliacall`:
@@ -88,7 +88,7 @@ The solution is to either:
   * import `juliacall` before the other Python library, so that Julia's `libstdc++` is loaded
   * use a Python from a conda environment, which will have a newer `libstdc++` that is compatible with Julia's
 
-Related issues: [#255](https://github.com/cjdoris/PythonCall.jl/issues/255)
+Related issues: [#255](https://github.com/JuliaPy/PythonCall.jl/issues/255)
 
 ## Can I use JuliaCall to run Julia inside applications with embedded Python?
 

docs/src/juliacall.md

@@ -7,7 +7,7 @@ It's as simple as
 pip install juliacall
 ```
 
-Developers may wish to clone the repo (https://github.com/cjdoris/PythonCall.jl) directly
+Developers may wish to clone the repo (https://github.com/JuliaPy/PythonCall.jl) directly
 and pip install the module in editable mode. You should add `"dev":true, "path":"../.."` to
 `python/juliacall/juliapkg.json` to ensure you use the development version of PythonCall
 in conjunction with JuliaCall.
@@ -73,7 +73,7 @@ What to read next:
 
 ## [Managing Julia dependencies](@id julia-deps)
 
-JuliaCall manages its Julia dependencies using [JuliaPkg](https://github.com/cjdoris/PyJuliaPkg).
+JuliaCall manages its Julia dependencies using [JuliaPkg](https://github.com/JuliaPy/PyJuliaPkg).
 
 It will automatically download a suitable version of Julia if required.
 
@@ -98,7 +98,7 @@ Here is an example:
 
 Alternatively you can use `add`, `rm`, etc. from JuliaPkg to edit this file.
 
-See [JuliaPkg](https://github.com/cjdoris/PyJuliaPkg) for more details.
+See [JuliaPkg](https://github.com/JuliaPy/PyJuliaPkg) for more details.
 
 ## [Configuration](@id julia-config)
 

docs/src/pythoncall.md

@@ -230,7 +230,7 @@ Python: 'Hello, world!\n'
 
 ## [Configuration](@id pythoncall-config)
 
-By default, PythonCall uses [CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl) to manage
+By default, PythonCall uses [CondaPkg.jl](https://github.com/JuliaPy/CondaPkg.jl) to manage
 its dependencies. This will install Conda and use it to create a Conda environment specific
 to your current Julia project containing Python and any required Python packages.
 
@@ -288,7 +288,7 @@ If `conda`, `mamba` or `micromamba` is not in your `PATH` you will also need to
 ## [Installing Python packages](@id python-deps)
 
 Assuming you haven't [opted out](@ref pythoncall-config), PythonCall uses
-[CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl) to automatically install any required
+[CondaPkg.jl](https://github.com/JuliaPy/CondaPkg.jl) to automatically install any required
 Python packages.
 
 This is as simple as
@@ -306,7 +306,7 @@ the project so that dependencies are automatically installed for everyone using
 
 To add dependencies to a Julia package, just ensure the package project is activated first.
 
-See the [CondaPkg.jl](https://github.com/cjdoris/CondaPkg.jl) documentation.
+See the [CondaPkg.jl](https://github.com/JuliaPy/CondaPkg.jl) documentation.
 
 ## Writing packages which depend on PythonCall
 

setup.cfg

@@ -4,7 +4,7 @@ version = 0.9.14
 description = Julia and Python in seamless harmony
 long_description = file: README.md
 long_description_content_type = text/markdown
-url = http://github.com/cjdoris/PythonCall.jl
+url = http://github.com/JuliaPy/PythonCall.jl
 classifiers =
     Programming Language :: Python :: 3
     License :: OSI Approved :: MIT License

src/concrete/consts.jl

@@ -185,7 +185,7 @@ for k in BUILTINS
     if k == :help
         # help is only available in interactive contexts (imported by the 'site' module)
         # see: https://docs.python.org/3/library/functions.html#help
-        # see: https://github.com/cjdoris/PythonCall.jl/issues/248
+        # see: https://github.com/JuliaPy/PythonCall.jl/issues/248
         push!(INIT_CONSTS_CODE, :(pycopy!(pybuiltins.$k, pygetattr(pybuiltinsmodule, $(string(k)), pybuiltins.None))))
     else
         push!(INIT_CONSTS_CODE, :(pycopy!(pybuiltins.$k, pygetattr(pybuiltinsmodule, $(string(k))))))