flupy

---

Documentation: https://flupy.readthedocs.io/en/latest/

Source Code: https://github.com/olirice/flupy

---

Overview

Flupy implements a fluent interface for operating on python iterables. All flupy methods return generators and are evaluated lazily. This allows expressions to transform arbitrary size data in extremely limited memory.

You can think of flupy as a light weight, 0 dependency, pure python alternative to the excellent Apache Spark project.

Setup

Requirements

• Python 3.6+

Installation

Install flupy with pip:

$ pip install flupy

Library

from itertools import count
from flupy import flu

# Processing an infinite sequence in constant memory
pipeline = (
    flu(count())
    .map(lambda x: x**2)
    .filter(lambda x: x % 517 == 0)
    .chunk(5)
    .take(3)
)

for item in pipeline:
  print(item)

# Returns:
# [0, 267289, 1069156, 2405601, 4276624]
# [6682225, 9622404, 13097161, 17106496, 21650409]
# [26728900, 32341969, 38489616, 45171841, 52388644]

CLI

The flupy command line interface brings the same syntax for lazy piplines to your shell. Inputs to the flu command are auto-populated into a Fluent context named _.

$ flu -h
usage: flu [-h] [-f FILE] [-i [IMPORT [IMPORT ...]]] command

flupy: a fluent interface for python

positional arguments:
  command               flupy command to execute on input

optional arguments:
  -h, --help            show this help message and exit
  -f FILE, --file FILE  path to input file
  -i [IMPORT [IMPORT ...]], --import [IMPORT [IMPORT ...]]
                        modules to import
                        Syntax: <module>:<object>:<alias>
                        Examples:
                                'import os' = '-i os'
                                'import os as op_sys' = '-i os::op_sys'
                                'from os import environ' = '-i os:environ'
                                'from os import environ as env' = '-i os:environ:env'