For all users
object mode
@jit
nopython
nogil
cache
parallel
@vectorize
@guvectorize
@jitclass
as_numba_type
numba.typed
@cfunc
numba.types.Record.make_c_struct
@stencil
neighborhood
func_or_mode
cval
standard_indexing
StencilFunc
out
objmode
jit_module
@jit(forceobj=True)
gdb
parallel=True
typed
CUDA initialized before forking
array
cmath
collections
ctypes
enum
math
operator
functools
random
heapq
cffi
stride_tricks
generated_jit
numba.pycc
NUMBA_CAPTURED_ERRORS
For CUDA users
For advanced users & developers
numba.experimental.structref
jit
@overload
towncrier
maint/gitlog2changelog.py
Rewrite
Rewrite.match()
Rewrite.apply()
RewriteArrayExprs.match()
RewriteArrayExprs.apply()
_lower_array_expr()
numba.jit()
numba.extending.overload()
PYTHONHASHSEED
sys.monitoring
Literal
LOAD_FAST_AND_CLEAR
Expr.undef
UndefVar
The release was skipped due to issues during the release process.