Jhonsam
06-25-2011, 05:48 AM
Cegonsoft is a Bangalore based IT Training and Software Development center with an exclusive expertise in the area of HR consultancy. Cegon is a Dutch word meaning Never Ending, which implies that our service to you is unflinching. Cegonsoft with over a decade of proficiency and experience in the field of training and placement has mushroomed out into 4 branches in Bangalore, 4 branches in North Karnataka, 3 branches in Chennai, and 2 branches in Coimbatore.
About Python:
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
Exceptions with C++ Concepts in Python:
Boost.Python is the de facto standard for writing C++ extension modules. Boost.Python comes bundled with the Boost C++ Libraries. To install it
on an Ubuntu system, you might need to run the following commands.
$ sudo apt-get install libboost-python-dev
$ sudo apt-get install python-dev
A Hello World Example
[edit] The C++ source code (hellomodule.cpp)
#include <iostream>
using namespace std;
void say_hello(const char* name) {
cout << "Hello " << name << "!\n";
}
#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
using namespace boost::python;
BOOST_PYTHON_MODULE(hello)
{
def("say_hello", say_hello);
}
[edit] setup.py
#!/usr/bin/env python
from distutils.core import setup
from distutils.extension import Extension
setup(name="PackageName",
ext_modules=[
Extension("hello", ["hellomodule.cpp"],
libraries = ["boost_python"])
])
For More Details Click:Cegonsoft Python Training (http://www.cegonsoft.com/python.php)
About Python:
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
Exceptions with C++ Concepts in Python:
Boost.Python is the de facto standard for writing C++ extension modules. Boost.Python comes bundled with the Boost C++ Libraries. To install it
on an Ubuntu system, you might need to run the following commands.
$ sudo apt-get install libboost-python-dev
$ sudo apt-get install python-dev
A Hello World Example
[edit] The C++ source code (hellomodule.cpp)
#include <iostream>
using namespace std;
void say_hello(const char* name) {
cout << "Hello " << name << "!\n";
}
#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
using namespace boost::python;
BOOST_PYTHON_MODULE(hello)
{
def("say_hello", say_hello);
}
[edit] setup.py
#!/usr/bin/env python
from distutils.core import setup
from distutils.extension import Extension
setup(name="PackageName",
ext_modules=[
Extension("hello", ["hellomodule.cpp"],
libraries = ["boost_python"])
])
For More Details Click:Cegonsoft Python Training (http://www.cegonsoft.com/python.php)