v0.9.10

PythonCall v0.9.10

Diff since v0.9.9

Closed issues:

• Trouble Converting Collections from Python to Julia (#231)
• Using HuggingFace Transformers pipeline? (#236)
• libstdcxx-ng versioning (#237)
• micromamba hash mismatch (#238)
• Improving startup time (#239)
• PythonCall in sysimage (#240)
• PythonCall v0.9.9 cannot be loaded (#241)
• Support alternative CPython e.g. register-based? (#242)
• How to install julia 1.7.0 with juliacall 0.4.3? (#246)
• Unable to import juliacall in Python (#250)

Merged pull requests:

• libstdcxx version-bounds (#243) (@samtkaplan)

v0.9.9

PythonCall v0.9.9

Diff since v0.9.8

v0.9.8

PythonCall v0.9.8

Diff since v0.9.7

Closed issues:

• To do: Stable docs aren't building?? (#233)

v0.9.7

PythonCall v0.9.7

Diff since v0.9.6

Closed issues:

• Width & height info of the terminal is not passed to the Julia side? (#216)
• python string wrapper? (#218)
• segfault importing PyCall after importing Julia package with python dependencies / PythonCall.jl (#220)
• JuliaCall doesn't work with pandas DataFrames that have categorical columns (#222)
• Error when using PythonCall attached to a previous Conda environment. (#224)
• Package with pip dep fails with Jupyter notebook on Windows (#226)
• import PyCall, PythonCall crashes Julia (#228)
• Security update (#229)
• Security update (for all supported Python versions) (#230)

Merged pull requests:

• fix deprecation and possible faulty construction of pandas tables (#221) (@ExpandingMan)

v0.9.6

PythonCall v0.9.6

Diff since v0.9.5

Closed issues:

• convenient julia->python conversion of structured data (#200)
• julia thread hangs with multiple sevals (#202)
• Multiline evaluation (#210)
• NamedTuple (#213)
• __rmul__ did not act as expected (#214)
• Heap corruption on Python when torch is imported before juliacall, but not the reverse (#215)
• setindex! not defined for np arrays of non-conventional (isbits) types (#217)

v0.9.5

PythonCall v0.9.5

Diff since v0.9.4

Closed issues:

• find wrong Julia on M1 (#197)
• https://cjdoris.github.io/PythonCall.jl not updated to 0.9.3? (#203)
• printing MIME type is not handled correctly for graphs (#205)
• juliacall and PythonCall versions can get out of sync (#206)
• Segfault when indexing with SymbolServer (#207)
• copy(::PyDict) crash (#208)
• Resolve sometimes too eager to download package metadata and trigger updates (#209)
• Error when trying to display a figure from GLMakie through juliacall (#212)

v0.9.4

PythonCall v0.9.4

Diff since v0.9.3

Closed issues:

• Bug when 1.6-DEV installed (#174)
• sys.so not found if julia is a soft link (#196)
• Can not use pip package although conda status correct (#198)

Merged pull requests:

• Sync docs (#195) (@PallHaraldsson)
• Update index.md (#199) (@pitmonticone)

v0.9.3

PythonCall v0.9.3

Diff since v0.9.2

Closed issues:

• Better integration with Pluto (#102)
• How to pass Julia function to Python? (#142)

v0.9.2

PythonCall v0.9.2

Diff since v0.9.1

Closed issues:

• Add env var to use custom sysimage (#73)
• Configure julia options (#184)
• PythonCall.jl did not start properly when import juliacall (#188)
• Fail to include Julia file in a python script through the Main.include function (#189)
• support calling Julia with custom sysimage from Python (#190)

Merged pull requests:

• pass settings from -Xjuliacall_ to julia (#192) (@dpinol)

v0.9.1

PythonCall v0.9.1

Diff since v0.9.0

Closed issues:

• DataFrame conversion from pandas fails for non-string column names (#133)
• How to convert a Pandas DataFrame to Julia one without copy? (#135)
• LoadError: InitError during Package Build (#136)
• UndefVarError when using include in a new module (#176)
• Array conversion error? (#177)
• Converting pytable to DataFrame fails on v0.9 (#180)
• How to pass a Pandas DataFrame to Julia in 0.9? (#181)
• juliacall.JuliaError: MethodError: Cannot convert an object of type PythonCall.Py to an object of type Tuple (#183)
• Crash on Apple M1 with Julia 1.8-rc1 (#185)

Merged pull requests:

• fix: Ensure julia lib is always loaded as global (#186) (@gnuille)