iter.py

# Original source: Raymond's Hettinger tweet
""" #python lets you run for-loops over partially consumed iterators.  
This is useful for extracting and skipping over header rows:
"""
  it = iter(f)
  header = next(it)
  for line in it:
      ...

# Original source: @julienbaley tweet
"""itertools' doc has this great recipe to skip n items:"""
def consume(iterator, n):
    next(islice(iterator, n, n), None)

# Original source: @gumnos tweet
"""Use this regularly. Also its cousin:"""

r = csv.reader(f)
for row in r: # skip preamble, search for the header row
　if EXPECTED_HEADER in row:
　　headers = row
　　for row in r: # exhaust "r"
　　　yield dict(zip(headers, row))