arquolo / glow

Library of useful routines for coding and data science

Glow Library

Set of functional tools for easier prototyping

Overview

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Installation

For basic installation use:

pip install glow

Specific versions with additional requirements

pip install glow[io]  # For I/O extras
pip install glow[all]  # For all

Glow is compatible with: Python 3.10+. Tested on ArchLinux, Ubuntu 20.04/22.04, Windows 10/11.

Structure

• glow.* - Core parts, available out the box
• glow.io.* - I/O wrappers to access data in convenient formats

Core features

• glow.mapped - convenient tool to parallelize computations
• glow.memoize - use if you want to reduce number of calls for any function

IO features

glow.io.Sound - playable sound wrapper

from datetime import timedelta

import numpy as np
from glow.io import Sound

array: np.ndarray
sound = Sound(array, rate=44100)  # Wrap np.ndarray
sound = Sound.load('test.flac')  # Load sound into memory from file

# Get properties
rate: int = sound.rate
duration: timedelta = sound.duration
dtype: np.dtype = sound.dtype

 # Plays sound through default device, supports Ctrl-C for interruption
sound.play()