def z_score(series):
    """
    Computes the normalized value using the Z-score
    technique. The Z-score is a technique used for
    normalizing Gaussian distributions representing
    each observation in relation to the distribution's
    mean and standard deviation. For precise definitions,
    see the Wikipedia article:
    
        https://en.wikipedia.org/wiki/Standard_score
    
    Parameters
    ----------
    serie: list
        List with sequential values to use.
    
    Returns
    -------
    result: list
        List with the normalized results.
    """
    result = (series - series.mean()) / series.std(ddof=0)
    return result