javathunderman
/ mastodon2shiori.py
Last active
December 28, 2024 21:10
Mastodon to Shiori Bookmarks
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| import json | |
| from bs4 import BeautifulSoup | |
| import requests | |
| page = 1 | |
| existing_bookmarks_total = [] | |
| template_shiori = {"url": "", "title": "", "excerpt": "", "public": 0, "tags": [{"name": "mastodon"}], "create_archive": False, "create_ebook": False} | |
| mastodon_login = {"Authorization" : "Bearer "} # fill in with the app token from Mastodon's dev interface | |
| shiori_base = "" | |
| mastodon_base = "" | |
| shiori_login = { |
javathunderman
/ convert.py
Created
March 10, 2019 14:55
Script for quickly converting DICOM images to ordered JPG images for machine learning.
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| # Script for quickly converting DICOM images to ordered JPG images for machine learning. | |
| import os | |
| for fileName in os.listdir("."): | |
| noe = os.path.splitext(fileName)[0] | |
| if(noe == "convert"): | |
| continue | |
| os.system("convert " + fileName + " " + noe + ".jpg") | |
| os.remove(noe+".dcm") | |
| for fileName1 in os.listdir("."): |
javathunderman
/ least_popular.py
Created
August 28, 2018 21:46
Gets the least popular YT video(s) of any channel
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| import requests | |
| import json | |
| uname = input("Username or channel ID\n") | |
| APIkey = "" | |
| if("U" == uname[0]): | |
| channelID = uname | |
| else: | |
| IDlookup = requests.get("https://www.googleapis.com/youtube/v3/channels?key=" + APIkey + "&forUsername=" + uname + "&part=id&type=video") | |
| IDClean = IDlookup.json() | |
| channelID = IDClean['items'][0]['id'] |
javathunderman
/ snakecoin.py
Created
July 27, 2017 15:22
— forked from aunyks/snakecoin.py
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| import hashlib as hasher | |
| import datetime as date | |
| # Define what a Snakecoin block is | |
| class Block: | |
| def __init__(self, index, timestamp, data, previous_hash): | |
| self.index = index | |
| self.timestamp = timestamp | |
| self.data = data | |
| self.previous_hash = previous_hash |
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| # Import csv | |
| import csv | |
| # Import os | |
| import os | |
| # Main Function | |
| def main(): | |
| # Open dataset file | |
| dataset = open('dataset.csv', newline='') |