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Require security-supported Python patch releases #847

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4 changes: 3 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -3,7 +3,9 @@
## Unreleased
* Add `exe=@ENV` preference to read `JULIA_PYTHONCALL_EXE` without loading CondaPkg.
* Improved TTFX in JuliaCall.
* Minimum supported Python version is now 3.11.
* Minimum supported Python version is now 3.11, and CondaPkg now installs a
security-supported patch release (3.11.18+, 3.12.16+, 3.13.18+, 3.14.10+ or
3.15.2+).

## 0.9.37 (2026-10-12)
* Compatibility fix with Python 3.15 from conda-forge, which no longer bundles libpython.
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2 changes: 1 addition & 1 deletion CondaPkg.toml
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Expand Up @@ -9,7 +9,7 @@ version = "<=julia"

[deps.python]
build = "**cpython**"
version = ">=3.11,!=3.14.0,!=3.14.1,<4"
version = ">=3.11.18,<3.12|>=3.12.16,<3.13|>=3.13.18,<3.14|>=3.14.10,<3.15|>=3.15.2,<4"

[deps.libpython]
build = "**bundled-or-separate**"
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -14,7 +14,7 @@ Bringing [**Python®**](https://www.python.org/) and [**Julia**](https://juliala
- 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 3.11 upwards.
- Supports modern systems: tested on Windows, MacOS and Linux; 64-bit; Julia 1.10 upwards and Python 3.11 upwards, using a security-supported patch release.

⭐ If you like this, a GitHub star would be lovely thank you. ⭐

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8 changes: 7 additions & 1 deletion docs/src/faq.md
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Expand Up @@ -112,7 +112,13 @@ np = pyimport("numpy")
## What versions of Python and Julia do you support?

Each release of PythonCall and JuliaCall will support and require:
- Any currently supported version of Python, [see here](https://devguide.python.org/versions/). Currently 3.11+.
- Any currently supported version of Python, [see here](https://devguide.python.org/versions/). Currently 3.11+, using a security-supported patch release: 3.11.18+, 3.12.16+, 3.13.18+, 3.14.10+ or 3.15.2+.
- The current Julia LTS version and newer, [see here](https://julialang.org/downloads/#long_term_support_release). Currently 1.10+.

Only the latest patch release within each minor version is supported.

By default CondaPkg installs a Python satisfying this policy, so updating PythonCall
will upgrade Python automatically. If you must use an older patch release, for example
a system Python which you cannot upgrade, set `exe` (or `JULIA_PYTHONCALL_EXE`) to that
interpreter or use the CondaPkg `Null` backend. PythonCall only rejects Python older
than 3.11.
2 changes: 1 addition & 1 deletion docs/src/index.md
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Expand Up @@ -7,4 +7,4 @@ Bringing [**Python®**](https://www.python.org/) and [**Julia**](https://juliala
- 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.
- Works anywhere: tested on Windows, MacOS and Linux; 64-bit; Julia 1.10 upwards and Python 3.11 upwards.
- Works anywhere: tested on Windows, MacOS and Linux; 64-bit; Julia 1.10 upwards and Python 3.11 upwards, using a security-supported patch release.
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