Увеличиваем скорость Python и уменьшаем потребление памяти

virtualenv -p pypy3 myprojectdir
 
либо
 
virtualenv -p pypy myprojectdir

PS L:\Python\parsing\1 BeautifulSoup\Python_Prog исходники\E-parsers-master\E#02> & C:/Python310/python.exe c:/pitoner/help.py
c:\pitoner
c:\pitoner\help.py:7: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "test" failed type inference due to: Untyped global name 'dir': Cannot determine Numba type of <class 'builtin_function_or_method'>
 
File "help.py", line 9:
def test():
    r = dir(str)
    ^
 
  @jit
C:\Python310\lib\site-packages\numba\core\object_mode_passes.py:151: NumbaWarning: Function "test" was compiled in object mode without forceobj=True.
 
File "help.py", line 8:
@jit
def test():
^
 
  warnings.warn(errors.NumbaWarning(warn_msg,
C:\Python310\lib\site-packages\numba\core\object_mode_passes.py:161: NumbaDeprecationWarning: 
Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.
 
For more information visit https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit
 
File "help.py", line 8:
@jit
def test():
^
 
  warnings.warn(errors.NumbaDeprecationWarning(msg,
Help on wrapper_descriptor in str:
 
str.__add__ = __add__(self, value, /)
    Return self+value.
 
None
Help on class type in str:
 
str.__class__ = class type(object)
 |  type(object) -> the object's type
 |  type(name, bases, dict, **kwds) -> a new type
 |
 |  Methods defined here:
 |
 |  __call__(self, /, *args, **kwargs)
 |      Call self as a function.
 |
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