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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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# -- 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 |
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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(): |
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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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def case_insensitive(s1, s2): | |
""" | |
returns True if both s1 and s2 | |
contain the same letters and letters in the same order, | |
regardless of letters case. | |
In other words, | |
this is an implementation for either | |
s1.upper() == s2.upper() | |
or s1.lower() == s2.lower() | |
""" |
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