User:Bohye Woo/Prototyping

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)

Motivational messages

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

https://calibre-ebook.com/

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

c o d i n g

Javascript & Jquery

${document}.ready{function {} {
	Type yorur code
});

Same as

${function () {
	Type yorur code

});

#Java
document.getElementById(“blink”).style.background = “purple”;

Same as

#Jquery 
$(“#blink”).css(“background”, “pink”);

#Jquery
$(“li”).css(“background”, “red”);

Same as

#css
.li {
Background-color: red;
}

Python

print "ho?"
print ("hoi?")

print 'hello ' + 'Bohye'
print "this is" + " a good string"
print 'this is' + ' a good string'

• Arithmetic

january_to_june_rainfall = 1.93 + 0.71 + 3.53 + 3.41 + 3.69 + 4.50
annual_rainfall = january_to_june_rainfall

july_rainfall = 1.05
annual_rainfall += july_rainfall

august_rainfall = 4.91
annual_rainfall += august_rainfall

september_rainfall = 5.16
annual_rainfall += september_rainfall

october_rainfall = 7.20
annual_rainfall += october_rainfall

november_rainfall = 5.06
annual_rainfall += november_rainfall

december_rainfall = 4.06
annual_rainfall += december_rainfall
print annual_rainfall

#integer
int=1

#e indicating the power of 10
# this evaluates to 150:
float4 = 1.5e2

• How to know how much I spend for buying berries?

berries = 10
price_per_berries = 3.25

total_cost = berries * price_per_berries
print total_cost

• Division

#to see the cucumbers per person
cucumbers = 100
num_people = 6

whole_cucumbers_per_person = cucumbers/num_people

print whole_cucumbers_per_person

#to see the remaining cucumbers
float_cucumbers_per_person = float(cucumbers)/num_people
print float_cucumbers_per_person