diff --git a/docs/scenarios/speed.rst b/docs/scenarios/speed.rst
index 6aaa96bbd..05130c841 100644
--- a/docs/scenarios/speed.rst
+++ b/docs/scenarios/speed.rst
@@ -68,6 +68,138 @@ C Extensions
 Cython
 ------
 
+With `Cython <http://cython.org/>`_   you are able to write C and C++ modules for Python. It implements a superset of the Python language.
+You are also able to call C-functions and realize declaration of variables and functions like in C. Here is an example:
+
+.. code-block:: python
+
+    def primes(int kmax):
+    """Calculation of prime numbers with additional
+    Cython keywords"""
+
+        cdef int n, k, i
+        cdef int p[1000]
+        result = []
+        if kmax > 1000:
+            kmax = 1000
+        k = 0
+        n = 2
+        while k < kmax:
+            i = 0
+            while i < k and n % p[i] != 0:
+                i = i + 1
+            if i == k:
+                p[k] = n
+                k = k + 1
+                result.append(n)
+            n = n + 1
+        return result
+
+
+This implementation of an algorithm to find prime numbers has some additional keywords instead of the next one, which is implemented in pure Python:
+
+.. code-block:: python
+
+
+    def primes(kmax):
+    """Calculation of prime numbers in standard Python syntax"""
+
+        p= range(1000)
+        result = []
+        if kmax > 1000:
+            kmax = 1000
+        k = 0
+        n = 2
+        while k < kmax:
+            i = 0
+            while i < k and n % p[i] != 0:
+                i = i + 1
+            if i == k:
+                p[k] = n
+                k = k + 1
+                result.append(n)
+            n = n + 1
+        return result
+
+
+
+The only difference between the both algorithm is this part:
+
+
+.. code-block:: python
+
+    def primes(int kmax):
+        """Calculation of prime numbers with additional
+        Cython keywords"""
+
+        cdef int n, k, i
+        cdef int p[1000]
+        result = []
+
+
+.. code-block:: python
+
+    def primes(kmax):
+        """Calculation of prime numbers in standard Python syntax"""
+
+        p= range(1000)
+        result = []
+
+What is the difference? In the upper Cython version you can see the declaration of the variable types  and the integer array
+in a similar way like in standard C. For example `cdef int n,k,i` in line 3.  This additional type declaration (e.g. integer)
+allows the Cython compiler to generate more efficient C code from the second code. While standard Python code is saved in `*.py` files,
+Cython code is saved in `*.pyx` files.
+
+And what is with the speed? So lets try it!
+
+.. code-block:: python
+
+	import time
+	#activate pyx compiler
+	import pyximport
+	pyximport.install()
+	#primes implemented with Cython
+	import primesCy
+	#primes implemented with Python
+	import primes
+
+	print "Cython:"
+	t1= time.time()
+	print primesCy.primes(500)
+	t2= time.time()
+	print "Cython time: %s" %(t2-t1)
+	print ""
+	print "Python"
+	t1= time.time()
+	print primes.primes(500)
+	t2= time.time()
+	print "Python time: %s" %(t2-t1)
+
+
+These both lines need a remark:
+
+.. code-block:: python
+
+    import pyximport
+    pyximport.install()
+
+
+The `pyximport` module allows you to import `pyx` files (e.g., `primesCy.pyx`) with the Cython-compiled version of the `primes` function.
+The `pyximport.install()` command allows the Python interpreter to start the Cython compiler directly to generate C-code,
+which is automatically compiled to a `*.so` C-library. Cython is able to import this library for you in your Python-code.
+Very easy and very efficient. With the `time.time()` function you are able to compare the time between this 2 different calls to find 500 prime numbers.
+
+On a standard notebook (dualcore AMD E-450 1,6 GHz)  the measured values are:
+
+Cython time: 0.0054 seconds
+
+Python time: 0.0566 seconds
+
+And here the output of an embedded `ARM beaglebone <http://beagleboard.org/Products/BeagleBone>`_  machine:
+
+Cython time: 0.0196 seconds
+
+Python time: 0.3302 seconds
 
 Pyrex
 -----