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@yongghongg
yongghongg / stock_screener.py
Last active October 19, 2024 06:01
Build your own technical analysis stock screener using Python
#import required modules
from bs4 import BeautifulSoup
import ast
import pandas as pd
import re
import requests
from datetime import datetime
def get_stock_price(ticker):
# pass a ticker name to i3investor website url
@pshapiro
pshapiro / internal-pagerank.r
Last active March 29, 2023 16:36
Calculate Internal PageRank from Screaming Frog Crawl
library("igraph")
# Swap out path to your Screaming Frog All Outlink CSV. For Windows, remember to change backslashes to forward slashes.
links <- read.csv("C:/Documents/screaming-frog-all-outlinks.csv", skip = 1) # CSV Path
# This line of code is optional. It filters out JavaScript, CSS, and Images. Technically you should keep them in there.
links <- subset(links, Type=="AHREF") # Optional line. Filter.
links <- subset(links, Follow=="true")
links <- subset(links, select=c(Source,Destination))
g <- graph.data.frame(links)
pr <- page.rank(g, algo = "prpack", vids = V(g), directed = TRUE, damping = 0.85)
values <- data.frame(pr$vector)
@mhawksey
mhawksey / gist:1276293
Last active October 23, 2023 09:00
Google App Script to insert data to a google spreadsheet via POST or GET - updated version as per https://mashe.hawksey.info/2014/07/google-sheets-as-a-database-insert-with-apps-script-using-postget-methods-with-ajax-example/
/*
Copyright 2011 Martin Hawksey
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software