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+Creating ndarrays
+=================
+
+The Boost.Numpy library exposes quite a few methods to create ndarrays. ndarrays can be created in a variety of ways, include empty arrays and zero filled arrays.
+ndarrays can also be created from arbitrary python sequences as well as from data and dtypes. 
+
+This tutorial will introduce you to some of the ways in which you can create ndarrays.
+
+First, as before, initialise the necessary namepaces and runtimes ::
+
+	#include <boost/numpy.hpp>
+	#include <iostream>
+
+	namespace p = boost::python;
+	namespace np = boost::numpy;
+
+	int main(int argc, char **argv)
+	{
+	  Py_Initialize();
+	  np::initialize();
+
+Let's now create an ndarray from a simple tuple. We first create a tuple object, and then pass it to the array method, to generate the necessary tuple ::
+
+  p::object tu = p::make_tuple('a','b','c') ;
+  np::ndarray example_tuple = np::array(tu) ; 
+
+Let's now try the same with a list. We create an empty list, add an element using the append method, and as before, call the array method ::
+
+  p::list l ;
+  l.append('a') ;
+  np::ndarray example_list = np::array (l) ;
+
+Optionally, we can also specify a dtype for the array ::
+
+  np::dtype dt = np::dtype::get_builtin<int>();
+  np::ndarray example_list1 = np::array (l,dt);
+
+We can also create an array by supplying data arrays and a few other parameters.
+
+First,create an integer array ::
+
+  int data[] = {1,2,3,4} ;
+
+Create a shape, and strides, needed by the function ::
+
+  p::tuple shape = p::make_tuple(2,2) ;
+  p::tuple strides = p::make_tuple(strides(data)) ; 
+
+The function also needs an owner, to keep track of the data array passed. Passing none is dangerous ::
+
+  p::object owner ;
+
+The from_data function takes the data array, datatype,shape,stride and owner as arguments and returns an ndarray ::
+
+  np::ndarray data_ex1 = np::from_data(data,dt, shape,strides,owner);
+
+}
+
+
+