<jupyter_start><jupyter_text>CourseLecture        <NAME>        www.data4sci.com            @bgoncalves, @data4sci<jupyter_code>from collections import Counter
from pprint import pprint

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt 

import watermark

%load_ext watermark
%matplotlib inline<jupyter_output><empty_output><jupyter_text>We start by print out the versions of the libraries we're using for future reference<jupyter_code>%watermark -n -v -m -g -iv<jupyter_output>autopep8  1.5
numpy     1.18.1
json      2.0.9
pandas    1.0.1
watermark 2.0.2
Mon May 11 2020 

CPython 3.7.3
IPython 6.2.1

compiler   : Clang 4.0.1 (tags/RELEASE_401/final)
system     : Darwin
release    : 19.4.0
machine    : x86_64
processor  : i386
CPU cores  : 8
interpreter: 64bit
Git hash   : f06693032ded22cc83a4db4c4a7a590c1fa4bc94<jupyter_text>Load default figure style<jupyter_code>plt.style.use('./d4sci.mplstyle')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08254963427377221, 'fraction_numerical': 0.07732497387669801, 'mean_word_length': 4.068783068783069, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '663679', 'license': 'MIT', 'n_tokens_mistral': 413, 'n_tokens_neox': 372, 'n_words': 89, 'path': 'Untitled.ipynb', 'repo_name': 'DataForScience/PyGotham2021', 'size': '966'}