Sean Kelley seangtkelley

## pi_dec_1m_digits_dist.ipynb

      
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                seangtkelley
                / pi_dec_1m_digits_dist.ipynb
            
            
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              November 24, 2019 16:24
            
              
                Distribution of One Million Digits of Pi
              
          
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## late-night-sexism_wordclouds.py
female_mask = np.array(Image.open(os.path.join(os.getcwd(), "female_mask.jpg")))
male_mask = np.array(Image.open(os.path.join(os.getcwd(), "male_mask.jpg")))

female_wordcloud = WordCloud(background_color="white", max_words=1000, mask=female_mask, margin=10,random_state=1).generate(female_text)
male_wordcloud = WordCloud(background_color="white", max_words=1000, mask=male_mask, margin=10,random_state=1).generate(male_text)

f, (ax1, ax2) = plt.subplots(1, 2, sharex=True)
f.set_size_inches(18, 20.0)
ax1.imshow(male_wordcloud, interpolation="bilinear")
ax1.set_title('Male Wordcloud', fontsize=36)

## late-night-sexism_stopwords.py
cachedStopWords = stopwords.words("english")
punct = set(string.punctuation)

female_text = ' '.join(female_titles)
male_text = ' '.join(male_titles)

female_text = ''.join(ch for ch in female_text if ch not in punct)
male_text = ''.join(ch for ch in male_text if ch not in punct)

female_text = ' '.join([word for word in female_text.split() if word not in cachedStopWords])

## late-night-sexism_search-titles.py
census_surnames = pd.read_csv('app_c.csv')
census_firstnames = pd.read_csv('census-derived-all-first.csv')

firsts_lower = [str(name).lower() for name in list(census_firstnames.name)]
lasts_lower = [str(name).lower() for name in list(census_surnames.name)]

d = gender.Detector()

male_titles = []
female_titles = []

## late-night-sexism_playlist2.py
playlist[21].title

## late-night-sexism_playlist1.py
plurl = "https://www.youtube.com/playlist?list=UUi7GJNg51C3jgmYTUwqoUXA"
playlist = pafy.get_playlist2(plurl)
playlist

## late-night-sexism_imports.py
import pafy
import pandas as pd
import numpy as np
from PIL import Image
import os
import gender_guesser.detector as gender
from wordcloud import WordCloud
from nltk.corpus import stopwords
import matplotlib.pyplot as plt
from tqdm import tqdm

## gitkraken-install.sh
#!/bin/bash

# Enter /opt folder (common folder for user installed programs)
# This script assumes you have proper permissions on /opt
cd /opt

# Download GitKraken
wget https://release.gitkraken.com/linux/gitkraken-amd64.tar.gz

# Extract the Kraken into /opt directory
	female_mask = np.array(Image.open(os.path.join(os.getcwd(), "female_mask.jpg")))
	male_mask = np.array(Image.open(os.path.join(os.getcwd(), "male_mask.jpg")))

	female_wordcloud = WordCloud(background_color="white", max_words=1000, mask=female_mask, margin=10,random_state=1).generate(female_text)
	male_wordcloud = WordCloud(background_color="white", max_words=1000, mask=male_mask, margin=10,random_state=1).generate(male_text)

	f, (ax1, ax2) = plt.subplots(1, 2, sharex=True)
	f.set_size_inches(18, 20.0)
	ax1.imshow(male_wordcloud, interpolation="bilinear")
	ax1.set_title('Male Wordcloud', fontsize=36)
	cachedStopWords = stopwords.words("english")
	punct = set(string.punctuation)

	female_text = ' '.join(female_titles)
	male_text = ' '.join(male_titles)

	female_text = ''.join(ch for ch in female_text if ch not in punct)
	male_text = ''.join(ch for ch in male_text if ch not in punct)

	female_text = ' '.join([word for word in female_text.split() if word not in cachedStopWords])
	census_surnames = pd.read_csv('app_c.csv')
	census_firstnames = pd.read_csv('census-derived-all-first.csv')

	firsts_lower = [str(name).lower() for name in list(census_firstnames.name)]
	lasts_lower = [str(name).lower() for name in list(census_surnames.name)]

	d = gender.Detector()

	male_titles = []
	female_titles = []
	plurl = "https://www.youtube.com/playlist?list=UUi7GJNg51C3jgmYTUwqoUXA"
	playlist = pafy.get_playlist2(plurl)
	playlist
	import pafy
	import pandas as pd
	import numpy as np
	from PIL import Image
	import os
	import gender_guesser.detector as gender
	from wordcloud import WordCloud
	from nltk.corpus import stopwords
	import matplotlib.pyplot as plt
	from tqdm import tqdm
	#!/bin/bash

	# Enter /opt folder (common folder for user installed programs)
	# This script assumes you have proper permissions on /opt
	cd /opt

	# Download GitKraken
	wget https://release.gitkraken.com/linux/gitkraken-amd64.tar.gz

	# Extract the Kraken into /opt directory