Editing Python (section)

== Libraries ==

[http://www.numpy.org/ NumPy] is the fundamental package for scientific computing with Python. It contains among other things:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilities

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

[https://twistedmatrix.com/trac/ Twisted] is an event-driven networking engine written in Python and licensed under the open source MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3.

=== Data Visualization Libraries ===

[http://bokeh.pydata.org/en/latest/index.html Bokeh] is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

[http://matplotlib.org/ matplotlib] is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.

=== My pathlib notes ===

[https://medium.com/@ageitgey/python-3-quick-tip-the-easy-way-to-deal-with-file-paths-on-windows-mac-and-linux-11a072b58d5f Easy way to deal with Windows file paths]

=== My Python audio notes ===

[https://www.tutorialspoint.com/read-and-write-wav-files-using-python-wave Read and write wav files using Python wave module]

==== pydub notes ====

Install pydub

<pre>C:\Users\anon\Documents\python-venv
(pydub) λ pip install pydub</pre>

Install simpleaudio

<pre>C:\Users\anon\PycharmProjects\pydub
(pydub) λ pip install --upgrade pip setuptools

C:\Users\anon\PycharmProjects\pydub
(pydub) λ pip install simpleaudio</pre>

Sample Python script for splitting wav files on silence

<pre>import os
import argparse
import re
from pydub import AudioSegment
from pydub.silence import split_on_silence

parser = argparse.ArgumentParser(description='Split .wav files at one second or more of silence. A user specified '
                                             'directory will be searched and files with .wav extension will be '
                                             'processed. Split .wav files are stored in "chunks" directory relative to '
                                             'and with similar name as reference .wav file. Split files have "_NN" '
                                             'inserted into file name before .wav extension where NN is 00 to 99 '
                                             'incremented from 00. Supports up to 100 chunks per .wav file by only '
                                             'processing the first 100 chunks.')
parser.add_argument('dir', help='the path to directory where .wav files are located')
args = parser.parse_args()
folder_name = args.dir

regex_pattern_wav_file_ext = re.compile(r"""\.wav$""")  # Regex that can identify files ending with .wav.

chunk_path = r'{}\{}'.format(folder_name, 'chunks')
if not os.path.exists(chunk_path) and not os.path.isdir(chunk_path):
    os.mkdir(chunk_path)

for filename in os.listdir(folder_name):
    if regex_pattern_wav_file_ext.search(r'{}\{}'.format(folder_name, filename)):
        wav_file = AudioSegment.from_wav(r'{}\{}'.format(folder_name, filename))
        chunks = split_on_silence(wav_file, min_silence_len=1000, silence_thresh=-60, keep_silence=500)
        if chunks:
            for i, chunk in enumerate(chunks):
                if i > 99:
                    break
                chunk.export(r"{}\chunks\{}_{:02d}.wav".format(folder_name, filename[:-4], i), format="wav")
print('Script completed.')

</pre>