Karlheinzniebuhr

import random
import matplotlib.pyplot as plt

# Adjusted simulation settings
trading_days = 30  # Half a year
individual_portfolios = [1000, 1000, 1000, 1000]
shared_portfolio = 1000
win_rate = 0.75  # 50% win rate

# New risk-reward settings

Karlheinzniebuhr

#NoEnv  ; Recommended for performance and compatibility with future AutoHotkey releases.
; #Warn  ; Enable warnings to assist with detecting common errors.
SendMode Input  ; Recommended for new scripts due to its superior speed and reliability.
SetWorkingDir %A_ScriptDir%  ; Ensures a consistent starting directory.

^+F1:: ; Ctrl+Shift+F1 (/)

;Empty the Clipboard.
    Clipboard =
;Copy the select text to the Clipboard.

Karlheinzniebuhr

library(data.table)

?`[.data.table`

DT <- data.table(x=rep(c("b","a","c"),each=3), y=c(1,3,6), v=1:9)
X  <- data.table(x=c("c","b"), v=8:7, foo=c(4,2))

colnames(DT)
# [1] "x" "y" "v"

Karlheinzniebuhr

cat nmap_scan.txt | grep -B4 open | egrep -o "([0-9]{1,3}\.){3}[0-9]{1,3}"

Karlheinzniebuhr

"""
Given the starting point of any `x` gradient descent
should be able to find the minimum value of x for the
cost function `f` defined below.
"""
import random

def f(x):
    """
    Quadratic function.

Karlheinzniebuhr

# How to Do Linear Regression using Gradient Descent

# import Numpy, THE matrix multiplication library for python
from numpy import *

# minimize the "sum of squared errors". This is how we calculate and correct our error
def compute_error_for_line_given_points(b, m, points):
    totalError = 0
    for i in range(0, len(points)):
        x = points[i, 0]

Karlheinzniebuhr

/**
 * This Google Sheets script keeps data in the specified column sorted any time
 * the data changes.
 *
 * After much research, there wasn't an easy way to automatically keep a column
 * sorted in Google Sheets, and creating a second sheet to act as a "view" to
 * my primary one in order to achieve that was not an option. Instead, I
 * created a script that watches for when a cell is edited and triggers
 * an auto sort.
 *

Karlheinzniebuhr

import random
text_file = open("randomwordlist.txt", "w")

for i in range(100000000):
	text_file.write(str(random.randint(1, 1000000))+"\n")

text_file.close()