Numpy
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Fill an array with a loop
'''''''''''''''''''''''''

Filling a list in the loop
++++++++++++++++++++++++++

Sometimes you may want to create an array from a loop with unknown size at the beginning of the code execution, that's not possible with arrays directly as far as i know. So to achieve this we fill a list instead:

.. code-block:: python

    myList = []
    for i in range(0,final_length):
        myList.append(some_value_or_vector)

It is important that all the appended values have the same dimensions and type. Matrices, scalars and vectors are allowed here.

Converting a list to an array
+++++++++++++++++++++++++++++

To convert a list into a numpy array that can be used with TF and other libraries, do the following:

.. code-block:: python

    myArray = np.array(myList)
    
If it is important for you to get only a certain dimension from the list into te array, you can use addressing as such:

.. code-block:: python

    myArray = np.array(myList)[x,y,z...]
    
Where x, y and z are integers or ranges like (start:end).

Concatenate arrays
''''''''''''''''''

When there is the need to join some arrays into one big array the command bellow can be used:

.. code-block:: python

    myBigArray = np.concatenate((array1,array2,...))
    
.. warning::

    Numpy's 'concatenate' MUST RECEIVE a tuple, that is to say the double parenthesis ((array1,array2)) are NOT redundant!