Search WORKON_HOME (used by virtualenv_wrapper) for Python environments
priority field for delay loaded modules.
Use json output from conda_list (handle spaces in path of conda env)
Look for callable before iterable when converting Python objects to R
Correct propagation of errors in R functions called from Python
Support for generators (creating Python iterators from R functions)
completed value for
Detect older versions of Anaconda during registry scanning.
Don’t probe python versions on windows when no executable is found
Poll for interrupts every 500ms rather than 100ms
Provide sys.stdout and sys.stderr when they are None (e.g. in R GUI)
Add Scripts directory to PATH on Windows
Add iter_next function for element-by-element access to iterators
Eliminate special print method for iterators/generators
py_help() function for printing documentation on Python objects
dict() parent frames for symbols; only use symbols which inherit from python.builtin.object as keys.
import_from_path() function for importing Python modules from the filesystem.
py_discover_config() function to determine which versions of Python will be discovered and which one will be used by reticulate.
py_last_error() function for retreiving last Python error.
Convert 0-dimension NumPy arrays (scalars) to single element R vectors
Convert “callable” Python objects to R functions
Automatically add Python bin directory to system PATH for consistent version usage in reticulate and calls to system
length() method for tuple objects
Enable specification of
__name__ for R functions converted to Python functions.
Give priority to the first registered delay load module (previously the last registered module was given priority)
Add additional safety checks to detect use of NULL xptr objects (i.e. objects from a previous session). This should mean that S3 methods no longer need to check whether they are handling an xptr.
py_eval() function for evaluating simple Python statements.
PyImport_Import rather than
on_error functions for
Scan customary root directories for virtualenv installations
[[ operator (zero-based to match Python style indexing)
conda_* family of functions for using conda utilities from within R.
Implement comparison operators (e.g.
>=, etc.) for Python objects
names() generic for Python objects
Improve performance for marshalling of large Python dictionaries and iterators that return large numbers of items.
str methods for Python List, Dict, and Tuple (to prevent printing of very large collections via default
grepl() rather than
endsWith() for compatibility with R <= 3.2
inspect.getmro rather than
__bases__ for enumerating the base classes of Python objects.
UNPROTECT issue detected by CRAN
Correct converstion of strings with Unicode characters on Windows
Fix incompatibility with system-wide Python installations on Windows
Fix issue with Python dictionary keys that shared names with
primitive R functions (don’t check environment inheritance chain when looking for dictionary key objects by name).
convert parameter for modules with