Releases: JuliaPy/PythonCall.jl
Releases · JuliaPy/PythonCall.jl
v0.4.3
v0.4.2
PythonCall v0.4.2
v0.4.1
PythonCall v0.4.1
v0.4.0
PythonCall v0.4.0
Closed issues:
- How to pass a numpy array into a Julia function? (#38)
- Set Jill upstream when checking versions (#40)
- Use timestamp of juliacallmeta.json (#41)
- unsafe_pynext, pyisnull, pynext, pyprint, ... (#42)
- pymacro next, print, int, ... (#43)
- Run Aqua tests (#46)
- Document unsafe API (#47)
- Check all getptr calls (#48)
- Announce on discourse (#52)
- PyCall compat mode (#55)
- "writing packages" section in docs (#58)
- InitError (#60)
- FYI: 3.10 is out (to test) and 3.11 alpha (#63)
Merged pull requests:
- Python setup (#39) (@ShuhuaGao)
v0.3.0
PythonCall v0.3.0
Closed issues:
- Todo list (#1)
- Precompile statements (and error) (#13)
- Rely less on PyRef (#14)
- How can we mix Python and Julia code without relying on finalizers? (#15)
- Remove lazy functionality from PyObject (#16)
- Reloading code (#17)
- Faster Py_IncRef/Py_DecRef (#18)
- Preload C API pointers (#19)
- DSL avoid checking embedded Python objects (#20)
- _type_lb and _type_ub are wrong (#21)
- Make it so tryconvert rules can assume S is a DataType (#22)
- Error when getting columns on PyPandasDataFrame (#23)
- PythonCall/juliacall doesn't work in conda environment (#25)
- Doesn't work on 1.7.0-beta2 or 1.8 (#26)
- Error when calling Julia function defined in module (#27)
- Don't understand how to pass numpy arrays to Julia function (#28)
- Serialise NULL to Nothing (#33)
- Serialising traceback objects (#34)
- Is rewrite complete now ? (#37)
v0.2.1
PythonCall v0.2.1
v0.2.0
PythonCall v0.2.0
Closed issues: