cpython

I understand that everything in python is an Object and that the 'type' (or class) of these object is 'type'. Plus the type of type is also type itself. (as explained nicely here ) What I do not understand is how is this circular reference implemented? So i looked here . To quote the portion which might explain what I am looking for: PyTypeObject* PyObject.ob_type This is the type’s type, in other words its metatype. It is initialized by the argument to the PyObject_HEAD_INIT macro, and its value should normally be &PyType_Type. However, for dynamically loadable extension modules that must be

I would like to get a python list, say, [1,2,3,4] , from a C++ script. I wrote the C++ script, which returns a vector. How to connect the ends without SWIG/SIP/Cython/and others? Could it be easier to just compile the C++ to an .exe or elf file and then call from command line, have the .exe create a .txt containing a vector and read it in with python? My point is, I only need a really small function from C++ to do the heavy calculations on huge data. What would be the least painful and shortest method to do just this? EDIT: To give an example. Python will give a filename string to C++ ("foo

Having tries to target two of these environments at the same time I can safely say the if you have to use a database etc. you end up having to write unique code for that environment. Have you got a great way to handle this situation? If you do find you need to write unique code for an environment, use pythons import mymodule_jython as mymodule import mymodule_cpython as mymodule have this stuff in a simple module (''module_importer''?) and write your code like this: from module_importer import mymodule This way, all you need to do is alter module_importer.py per platform. @Daren Thomas: I

django-admin startproject demo demo项目的目录结构 demo/ ├── db.sqlite3 ├── demo │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── settings.cpython-36.pyc │ │ ├── urls.cpython-36.pyc │ │ └── wsgi.cpython-36.pyc │ ├── settings.py │ ├── urls.py │ └── wsgi.py ├── manage.py └── requirements.txt 1. 安装相关工具和依赖 [root@uwsgi ~]# yum -y install git wget httpd vim # 安装相关工具 [root@uwsgi ~]# yum -y install gcc zlib* openssl-devel # 安装编译工具和依赖库 2. 安装 Python 环境 rhel系列无法通过yum直接安装python3，需要源码编译安装 [root@uwsgi ~]# pwd # 查看当前目录 /root [root@uwsgi ~]# wget https://www.python.org/ftp/python/3.6.5

When comparing floats to integers, some pairs of values take much longer to be evaluated than other values of a similar magnitude. For example: >>> import timeit >>> timeit.timeit("562949953420000.7 < 562949953421000") # run 1 million times 0.5387085462592742 But if the float or integer is made smaller or larger by a certain amount, the comparison runs much more quickly: >>> timeit.timeit("562949953420000.7 < 562949953422000") # integer increased by 1000 0.1481498428446173 >>> timeit.timeit("562949953423001.8 < 562949953421000") # float increased by 3001.1 0.1459577925548956 Changing the

This can be a tricky question... In short I am creating and adding a method as follows: static PyObject *ret_arg(PyBVHTree *self, PyObject *arg) { /* just to demonstrate */ return arg; } static PyMethodDef my_meth = {"ret_arg", (PyCFunction)ret_arg, METH_O, 0}; ... PyObject* func = PyCFunction_New(&my_meth, my_object); Py_DECREF(my_object); PyObject_SetAttrString(my_object, "ret_arg", func); Py_DECREF(func); return my_object; } It works! But having some problems :( eg.: If I del my_object. And use the new method, CRASH . When I close the program with python. Error: EXCEPTION_ACCESS_VIOLATION.