#106 Fluent query APIs on Python collections

• flupy implements a fluent interface for chaining multiple method calls as a single python expression.
• All flupy methods return generators and are evaluated lazily in depth-first order.
• This allows flupy expressions to transform arbitrary size data in extremely limited memory.
• Example:

    pipeline = flu(count()).map(lambda x: x**2) \
                           .filter(lambda x: x % 517 == 0) \
                           .chunk(5) \
                           .take(3)

    for item in pipeline:
      print(item)

• The CLI in particular has been great for our data science team. Not everyone is super comfortable with linux-fu so having a cross-platform way to leverage python knowledge on the shell has been an easy win.
• Also if you are LINQ inclined: https://github.com/sixty-north/asq
• asq is simple implementation of a LINQ-inspired API for Python which operates over Python iterables, including a parallel version implemented in terms of the Python standard library multiprocessing module.

    # ASQ
    >>> from asq import query
    >>> words = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten"]
    >>> query(words).order_by(len).then_by().take(5).select(str.upper).to_list()
    ['ONE', 'SIX', 'TEN', 'TWO', 'FIVE']