Yu-Fu Wu yfwu

## organize.py
#!/bin/env python3
# %%
import os
from pathlib import Path
import sys

# %%
# get all the folders and nested folders and files into a list
def get_all_files(path):
    """Get all files in a folder and subfolders"""

## wordle.md

      
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                yfwu
                / wordle.md
            
            
              Created
              February 4, 2022 16:09
                — forked from huytd/wordle.md
            
              
                Wordle in less than 50 lines of Bash
              
          
How to use:
./wordle.sh

Or try the unlimit mode:

  
## extract.py
import re
import difflib

word="acromegaly"
textarea = "acromegaly, pneumonia, prolactinoma"
pattern = r'\w+'
l = re.findall(pattern, textarea)

matcher = difflib.SequenceMatcher(b=word)
for test_word in l:

## concat.ipynb

      
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                yfwu
                / concat.ipynb
            
            
              Last active
              April 26, 2021 16:50
            
              
                Concat and merge
              
          
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## export.py
import os
import sys
from bs4 import BeautifulSoup

def get_metadata(f):
    with open(f, 'rb') as h:
        html_doc = h.read()
        soup = BeautifulSoup(html_doc, 'html.parser')
        title = str(soup.find("title")).replace("<title>", "").replace("</title>", "")
        date = soup.find("meta",  property="created")

## read_data_m.py
def read_data_modified(fname):
    data = []
    with open(fname) as f:
        for line in f.readlines():
            line = re.sub('[!@#%^&:;,`\.\']', '', line)
            data.extend(line.replace('\n', '').strip().lower().split(' '))
    return data

## prog3-1.m
**@interface** Fraction: NSObject

-(**void**) print;
-(**void**) setNumerator: (**int**) n;
-(**void**) setDenominator: (**int**) d;

**@end**

*// ————*

## plot_lm.R
labor<- c(115.63, 134.13, 140.31, 125.14, 76.96, 78.3, 67.71, 72.36, 96.14, 111.82, 113.46, 73.67, 125.6, 143.78, 136.28, 131.65)
marriage<- c(46.96, 21.47, 24.75, 31.36, 50.37, 49.41, 37.36, 32.11, 0, 23.88, 35.43, 11.73, 53.58, 51.9, 99.74, 0)
plot(labor, marriage)
mod <- lm(marriage ~ labor)
abline(mod, col=2, lwd=3)

## intmed.py
import requests
import time

prefix = "http://www.tsim.org.tw/journal/jour"

for i in range(19, 30):
    for j in range(1, 7):
        for k in range(1, 8):
            url = prefix + str(i) + "-" + str(j) + "/0" + str(k) + ".PDF"
            print(url)

## install_orange_on_anaconda.sh
conda create -n orange python=3.4 numpy scipy scikit-learn docutils beautifulsoup4 nose Sphinx xlrd pyqt psycopg2
source activate orange

pip install bottlechest
pip install chardet
pip install recommonmark
pip install pyqtgraph
pip install qt-graph-helpers

git clone https://github.com/biolab/orange3.git
	#!/bin/env python3
	# %%
	import os
	from pathlib import Path
	import sys

	# %%
	# get all the folders and nested folders and files into a list
	def get_all_files(path):
	"""Get all files in a folder and subfolders"""
	import re
	import difflib

	word="acromegaly"
	textarea = "acromegaly, pneumonia, prolactinoma"
	pattern = r'\w+'
	l = re.findall(pattern, textarea)

	matcher = difflib.SequenceMatcher(b=word)
	for test_word in l:
	import os
	import sys
	from bs4 import BeautifulSoup

	def get_metadata(f):
	with open(f, 'rb') as h:
	html_doc = h.read()
	soup = BeautifulSoup(html_doc, 'html.parser')
	title = str(soup.find("title")).replace("<title>", "").replace("</title>", "")
	date = soup.find("meta", property="created")
	def read_data_modified(fname):
	data = []
	with open(fname) as f:
	for line in f.readlines():
	line = re.sub('[!@#%^&:;,`\.\']', '', line)
	data.extend(line.replace('\n', '').strip().lower().split(' '))
	return data
	@interface Fraction: NSObject

	-(void) print;
	-(void) setNumerator: (int) n;
	-(void) setDenominator: (int) d;

	@end

	// ————
	labor<- c(115.63, 134.13, 140.31, 125.14, 76.96, 78.3, 67.71, 72.36, 96.14, 111.82, 113.46, 73.67, 125.6, 143.78, 136.28, 131.65)
	marriage<- c(46.96, 21.47, 24.75, 31.36, 50.37, 49.41, 37.36, 32.11, 0, 23.88, 35.43, 11.73, 53.58, 51.9, 99.74, 0)
	plot(labor, marriage)
	mod <- lm(marriage ~ labor)
	abline(mod, col=2, lwd=3)
	import requests
	import time

	prefix = "http://www.tsim.org.tw/journal/jour"

	for i in range(19, 30):
	for j in range(1, 7):
	for k in range(1, 8):
	url = prefix + str(i) + "-" + str(j) + "/0" + str(k) + ".PDF"
	print(url)
	conda create -n orange python=3.4 numpy scipy scikit-learn docutils beautifulsoup4 nose Sphinx xlrd pyqt psycopg2
	source activate orange

	pip install bottlechest
	pip install chardet
	pip install recommonmark
	pip install pyqtgraph
	pip install qt-graph-helpers

	git clone https://github.com/biolab/orange3.git