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# how to use *args and **kwargs with wrapper

def main_function(a: int, b: int):
    print(f'a: {a} + b: {b} = {a+b}')

def my_wrapper(*args, **kwargs):
    print(f'wrapper recieved: {len(args)} args and {len(kwargs)} kwargs')
    if 'a' not in kwargs: kwargs.update({'a': 6})

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import tensorflow as tf
import numpy as np

corpus_raw = 'He is the king . The king is royal . She is the royal  queen '

# convert to lower case
corpus_raw = corpus_raw.lower()

words = []
for word in corpus_raw.split():

iamaziz

# -- read csv files from tar.gz in S3 with S3FS and tarfile (https://s3fs.readthedocs.io/en/latest/)

bucket = 'mybucket'
key = 'mycompressed_csv_files.tar.gz'

import s3fs
import tarfile
import io
import pandas as pd

iamaziz

from subprocess import check_output
from glob import glob

notebooks = glob('./**/*.ipynb', recursive=True)
for n in notebooks:
    cmd = f'jupyter nbconvert --to html {n}'
    check_output(cmd.split())

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iamaziz

"""
Create a data structure that mimics Python's list.

IDEA: convert each element to a base representation with a fixed size (byte / binary / octal / hexadecimal ... etc)
	  then, concat elements as a string.
	  
Based on meetup: https://www.meetup.com/Deep-Dive-into-Python-Know-Thy-Interpreter/events/238587475/
"""

class List(object):