diff options
Diffstat (limited to 'numpy/doc/misc.py')
| -rw-r--r-- | numpy/doc/misc.py | 36 |
1 files changed, 19 insertions, 17 deletions
diff --git a/numpy/doc/misc.py b/numpy/doc/misc.py index 9a530fb9e..81d7a54af 100644 --- a/numpy/doc/misc.py +++ b/numpy/doc/misc.py @@ -30,8 +30,8 @@ Other related special value functions: :: isfinite(): True if not nan or inf nan_to_num(): Map nan to 0, inf to max float, -inf to min float -The following corresponds to the usual functions except that nans are excluded from -the results: :: +The following corresponds to the usual functions except that nans are excluded +from the results: :: nansum() nanmax() @@ -160,7 +160,8 @@ Thus: - Minuses: - - can't use for writing code to be turned into C extensions, only a wrapper tool. + - can't use for writing code to be turned into C extensions, only a wrapper + tool. 5) SWIG (automatic wrapper generator) @@ -174,11 +175,11 @@ Thus: - Minuses: - generates lots of code between Python and the C code - - - can cause performance problems that are nearly impossible to optimize out - + - can cause performance problems that are nearly impossible to optimize + out - interface files can be hard to write - - doesn't necessarily avoid reference counting issues or needing to know API's + - doesn't necessarily avoid reference counting issues or needing to know + API's 7) Weave @@ -187,8 +188,8 @@ Thus: - Phenomenal tool - can turn many numpy expressions into C code - dynamic compiling and loading of generated C code - - can embed pure C code in Python module and have weave extract, generate interfaces - and compile, etc. + - can embed pure C code in Python module and have weave extract, generate + interfaces and compile, etc. - Minuses: @@ -198,7 +199,8 @@ Thus: - Plusses: - - Turns pure python into efficient machine code through jit-like optimizations + - Turns pure python into efficient machine code through jit-like + optimizations - very fast when it optimizes well - Minuses: @@ -208,15 +210,15 @@ Thus: Interfacing to Fortran: ----------------------- -Fortran: Clear choice is f2py. (Pyfort is an older alternative, but not supported -any longer) +Fortran: Clear choice is f2py. (Pyfort is an older alternative, but not +supported any longer) Interfacing to C++: ------------------- -1) CXX -2) Boost.python -3) SWIG -4) Sage has used cython to wrap C++ (not pretty, but it can be done) -5) SIP (used mainly in PyQT) + 1) CXX + 2) Boost.python + 3) SWIG + 4) Sage has used cython to wrap C++ (not pretty, but it can be done) + 5) SIP (used mainly in PyQT) """ |