diff --git a/libs/numpy/example/dtype.cpp b/libs/numpy/example/dtype.cpp
new file mode 100644
index 00000000..33e040d4
--- /dev/null
+++ b/libs/numpy/example/dtype.cpp
@@ -0,0 +1,33 @@
+/**
+ *  @brief An example to show how to create ndarrays with built-in python data types, and extract the types and values 
+ *          of member variables
+ *
+ *  @todo Add an example to show type conversion.
+ *        Add an example to show use of user-defined types
+ *        Doesn't work for char. Works for int, long int, short int, float, double
+ */
+
+#include <boost/numpy.hpp>
+#include <iostream>
+
+namespace p = boost::python;
+namespace np = boost::numpy;
+
+int main(int argc, char **argv)
+{
+  // Initialize the Python runtime.
+  Py_Initialize();
+  // Initialize NumPy
+  np::initialize();
+  // Create a 3x3 shape...
+  p::tuple shape = p::make_tuple(3, 3);
+  // ...as well as a type for C++ double
+  np::dtype dtype = np::dtype::get_builtin<double>();
+  // Construct an array with the above shape and type
+  np::ndarray a = np::zeros(shape, dtype);
+  // Print the array
+  std::cout << "Original array:\n" << p::extract<char const *>(p::str(a)) << std::endl;
+  // Print the datatype of the elements
+  std::cout << "Datatype is:\n" << p::extract<char const *>(p::str(a.get_dtype())) << std::endl ;
+
+}
diff --git a/libs/numpy/example/ndarray.cpp b/libs/numpy/example/ndarray.cpp
new file mode 100644
index 00000000..9bfd5dc5
--- /dev/null
+++ b/libs/numpy/example/ndarray.cpp
@@ -0,0 +1,33 @@
+/**
+ *  @brief An example to show how to create ndarrays using arbitrary Python sequences
+ *         The Python sequence could be any object whose __array__ method returns an array, or any (nested) sequence.
+ *
+ *  @todo Find a way to create a list explicitly
+ *        
+ */
+
+#include <boost/numpy.hpp>
+#include <iostream>
+
+namespace p = boost::python;
+namespace np = boost::numpy;
+
+int main(int argc, char **argv)
+{
+  // Initialize the Python runtime.
+  Py_Initialize();
+  // Initialize NumPy
+  np::initialize();
+  // Create an ndarray from a simple tuple
+  p::object tu = p::make_tuple('a','b','c') ;
+  np::ndarray example_tuple = np::array (tu) ; 
+  // and from a list
+  p::list l ;
+  l.append('a') ;
+  np::ndarray example_list = np::array (l) ; 
+  // Optionally, you can also specify a dtype
+  np::dtype dt = np::dtype::get_builtin<int>();
+  np::ndarray example_list1 = np::array (l,dt);
+}
+
+