User:Bohye Woo/Prototyping: Difference between revisions
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==Workshop #1== | ==Workshop #1== | ||
Using Selenium to | Using Selenium to scrap the Youtube comments, and using text processor to rank the most frequent words. | ||
<source lang=python> | <source lang=python> | ||
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Link: [[.py.rate.chnic sessions]] | Link: [[.py.rate.chnic sessions]] | ||
=Pandoc converter= | =Pandoc converter= | ||
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</source> | </source> | ||
== | ==From Wiki to Html to PDF== | ||
example: https://gitlab.com/Mondotheque/RadiatedBook/blob/master/resources/style.pdf.css | example: https://gitlab.com/Mondotheque/RadiatedBook/blob/master/resources/style.pdf.css | ||
Weasyprint filename.html -s style.css filename.pdf | Weasyprint filename.html -s style.css filename.pdf | ||
<source lang=python> | |||
#download the page | |||
#STEP 1 | |||
#take content from wiki | |||
./wiki-download.py --pages 'Entreprecariat reader synopses and abstracts' | |||
#STEP 2 | |||
#converting mediawiki file to html file: | |||
pandoc 'Entreprecariat reader synopses and abstracts' -f mediawiki -t html -s -o 'Entreprecariat_reader.html' | |||
#STEP 3 | |||
#convert html to pdf | |||
weasyprint Entreprecariat_reader.html -s style.css output.pdf | |||
</source> | |||
[[Program Languages]] |
Latest revision as of 12:38, 23 October 2018
Motivational messages - work groups
Bo, Bi, Pedro, Rita group (BBPR)
Pad:https://pad.xpub.nl/p/LINKEDIN
outcome
http://145.24.139.232/~pedrosaclout/linkedinproject/
In my role as Head of recruiting for technology product development in India, I have had the exciting opportunity to was director of Open State Foundation, a non-profit organization. I am Isla Garcia and I . I take responsibility and pride myself in being strategic yet adaptable. I have an entrepreneurial spirit in that I enjoy taking on new challenges, creating new opportunities and designing new programs. My passions lie in reinforcement learning. When Iâm not focused on my professional endeavors, you can find me go 14,000 feet above sea level hiking a mountain. My goal is to be a good social responsibility person in society.
In my role as Co-Founder, I have had the exciting opportunity to was director of Open State Foundation, a non-profit organization. I am Isla Garcia and I . I take responsibility and pride myself in being strategic yet adaptable. I have an entrepreneurial spirit in that I enjoy taking on new challenges, creating new opportunities and designing new programs. My passions lie in GANs. When Iâm not focused on my professional endeavors, you can find me go 14,000 feet above sea level hiking a mountain. My goal is to become a good software engineer in software field.
script
/home/pedrosaclout/public_html/linkedinproject/generator.sh
#!/bin/sh dir=/home/pedrosaclout/public_html/linkedinproject profession=`cat $dir/professions.txt | sort -R | head -n 1` subject=`cat $dir/subject.txt | sort -R | head -n 1` goal=`cat $dir/goal.txt | sort -R | head -n 1` education=`cat $dir/education.txt | sort -R | head -n 1` quotes=`cat $dir/quotes.txt | sort -R | head -n 1` adjectives=`cat $dir/adjectives.txt | sort -R | head -n 1` name=`cat $dir/names.txt | sort -R | head -n 1` hobby=`cat $dir/hobby.txt | sort -R | head -n 1` experience=`cat $dir/experience.txt | sort -R | head -n 1` template=`cat $dir/template.txt| sort -R | head -n 1` echo $template | sed "s/PROFESSION/$profession/g" | sed "s/EXPERIENCE/$experience/g" | sed "s/SUBJECT/$subject/g" | sed "s/GOAL/$goal/g" | sed "s/EDUCATION/$education/g" | sed "s/QUOTE/$quotes/g" | sed "s/ADJECTIVES/$adjectives/g" | sed "s/NAME/$name/g" | sed "s/HOBBY/$hobby/g" | sed "s/EXPERIENCE/$experience/g" > $dir/index.html
from nltk.corpus import wordnet synonyms = [] for syn in wordnet.synsets('Computer'): for lemma in syn.lemmas(): synonyms.append(lemma.name()) print(synonyms)
Py.rate.chinic workshop #1
Workshop #1
Using Selenium to scrap the Youtube comments, and using text processor to rank the most frequent words.
import re
import string
frequency = {}
document_text = open('4.txt', 'r')
text_string = document_text.read().lower()
match_pattern = re.findall(r'\b[a-z]{4,15}\b', text_string)
for word in match_pattern:
count = frequency.get(word,0)
frequency[word] = count + 1
frequency_list = frequency.keys()
print (frequency)
for word in sorted(frequency, key=frequency.get):
print (word, frequency[word])
Link: .py.rate.chnic sessions
Pandoc converter
A universal document converter - converts from one markup language onto another https://pandoc.org/MANUAL.html
Use: convert downloaded wiki pages onto HTML files
extensive documentation in Pandoc’s Manual or man pandoc
calibre ebook program
Pandoc (Convert Docx file to Media Wiki)
Pandoc common arguments
-f - option standing for “from”, is followed by the input format;
-t - option standing for “to”, is followed by the output format;
-s - option standing for “standalone”, produces output with an appropriate header and footer;
-o - option for file output;
mediawiki - mediawiki input filename - you need to replace it by its actual name
echo texts.docx
echo '<h1>Hello</h1>'
# (Convert Docx file to Markdown)
echo '<h1>Hello</h1>' | pandoc -f (from) html -t(to) markdown
# (Convert Docx file to Media Wiki)
echo '<h1>Hello</h1>' | pandoc -f (from) html -t(to) mediawiki
# (Convert Docx file to Latex)
echo '<h1>Hello</h1>' | pandoc -f (from) html -t(to) latex
#Content is stored in a file now
#start Pandoc program
pandoc texts.docx -f docx -t mediawiki
#convert to wiki file to get output of texts.wiki
pandoc texts.docx -f docx -t mediawiki -o texts.wiki
#check the text
less text.wiki
From Wiki to Html to PDF
example: https://gitlab.com/Mondotheque/RadiatedBook/blob/master/resources/style.pdf.css
Weasyprint filename.html -s style.css filename.pdf
#download the page
#STEP 1
#take content from wiki
./wiki-download.py --pages 'Entreprecariat reader synopses and abstracts'
#STEP 2
#converting mediawiki file to html file:
pandoc 'Entreprecariat reader synopses and abstracts' -f mediawiki -t html -s -o 'Entreprecariat_reader.html'
#STEP 3
#convert html to pdf
weasyprint Entreprecariat_reader.html -s style.css output.pdf