Two pipeline functions: map(reduce(stuff)) and reduce(map(stuff))

Two Pipelines

def assoc(_d, key, value):
    from copy import deepcopy
    d = deepcopy(_d)
    d[key] = value
    return d

def set_canada_as_country(band):
    return assoc(band, 'country', "Canada")

def strip_punctuation_from_name(band):
    return assoc(band, 'name', band['name'].replace('.', ''))

def capitalize_names(band):
    return assoc(band, 'name', band['name'].title())

#############################################################
# Pipelines
###########

def pipeline_each(data, fns):
  return map(lambda band: reduce(lambda acc, fn: fn(acc),
                                 fns,
                                 band),
             data)

def pipeline_each_supercool(data, fns):
  return reduce(lambda acc, x: map(x, acc),
                fns,
                data)

#############################################################

bands = [{'name': 'sunset rubdown', 'country': 'UK', 'active': False},
         {'name': 'women', 'country': 'Germany', 'active': False},
         {'name': 'a silver mt. zion', 'country': 'Spain', 'active': True}]

print pipeline_each(bands, [set_canada_as_country,
                            strip_punctuation_from_name,
                            capitalize_names])