Skip to content

Instantly share code, notes, and snippets.

@wrighter
wrighter / download_bars.py
Last active November 15, 2025 06:19
A command line utility to download historical data from Interactive Brokers
#!/usr/bin/env python
import os
import sys
import argparse
import logging
from datetime import datetime, timedelta
from typing import List, Optional
from collections import defaultdict
@alicoskun
alicoskun / Create local SSL certificate for NGINX on Windows.md
Last active March 15, 2025 07:26
Create local SSL certificate for NGINX on Windows

1. Run following script in PowerShell

param (
    [Parameter(Mandatory=$true)][string]$certificatename,
    [Parameter(Mandatory=$true)][SecureString]$certificatepassword
 )
# setup certificate properties including the commonName (DNSName) property for Chrome 58+
$certificate = New-SelfSignedCertificate `
    -Subject localhost `
    -DnsName localhost `
@ppisarczyk
ppisarczyk / Programming_Languages_Extensions.json
Last active December 30, 2025 21:11 — forked from aymen-mouelhi/languages.json
Programming Languages and their File Extensions
[
{
"name":"ABAP",
"type":"programming",
"extensions":[
".abap"
]
},
{
"name":"AGS Script",
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward