| /* main.css */ | |
| header, footer { | |
| font: 14px Arial, sans-serif; | |
| padding: 8px; | |
| color: white; | |
| background-color: black; | |
| clear: left; | |
| text-align: left; | |
| } |
| #!/usr/bin/env python -u | |
| # -*- coding: UTF-8 -*- | |
| #------------------------------------------------------------------------------ | |
| # Filename: fancycompleter.py | |
| # Author: Antonio Cuni | |
| # Mods: EABASE | |
| # Last: 2022-01-30 | |
| # License: BSD (from: setup.py in original repo) | |
| # | |
| #------------------------------------------------------------------------------ |
| #!/bin/bash | |
| #---------------------------------------------------------------------- | |
| # Author: EABASE | |
| # Date: 2022-01-16 | |
| # Version: 1.1 | |
| #---------------------------------------------------------------------- | |
| # History: | |
| # The original file was taken from iterm2 [1], and later modified | |
| # by EABASE in [2]. | |
| # |
| # | |
| # To resolve issue #903 in yfinance | |
| # https://github.com/ranaroussi/yfinance/issues/903 | |
| #---------------------------------------------------------- | |
| # Date: 2021-12-19 | |
| # | |
| # The PEG Ratio Yahoo Finance Paths: | |
| # | |
| # The working curl: | |
| # curl -s https://finance.yahoo.com/quote/{FE}/key-statistics?p={FE} | grep "root.App.main = " | sed -e "s/root.App.main = //" |sed 's/.$//'> dafuck_ok.json |
| //--------------------------------------------------------------------- | |
| // Name: HelloSDL2.cpp | |
| // Author: EAML | |
| // Date: 2021-05-16 | |
| // | |
| // Description: | |
| // A minimal PoC for producing a native SDL2 Windows app that can | |
| // be ran from either Windows Explorer or from Powershell console. | |
| // It's designed to use minimal command line, compiler options, | |
| // and dependencies... It will display a gray window for 2 sec's. |
| """ 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 |
| # References : | |
| # - https://stackoverflow.com/questions/61776425/logic-for-real-time-algo-trading-expert | |
| import pytz | |
| import pandas as pd | |
| import MetaTrader5 as mt5 | |
| import time | |
| from datetime import datetime | |
| from threading import Timer |
| # Basic pip search function provided by: | |
| # https://pypi.org/project/pip-search/ | |
| import sys | |
| from urllib import request | |
| from tabulate import tabulate | |
| def search () : | |
| f = request.urlopen('https://pypi.org/search/?q=%s' % sys.argv[1]) | |
| raw_text=str(f.read()) |
Instructions tested with a Raspberry Pi 2 with an 8GB memory card. Probably also works fine on a Raspberry Pi 3.
Download the latest Raspbian Jessie Light image. Earlier versions of Raspbian won't work.
Write it to a memory card using Etcher, put the memory card in the RPi and boot it up.
My problem: I have a bunch of Raspberry Pi computers, all connected via a network switch and USB ethernet port to a "gateway" Raspberry Pi. However, I don't particularly want them all to be internet-connected all of the time, because (1) it's possible there is a slight security risk and (2) my IT folk at work might not like it. OK, I should also mention (3) I tried and failed to get NAT and dnsmasq to work, and don't have time to finish debugging it.
My solution:
I SSH in to my "gateway" Pi (is it ok to call it a gateway even though it's resolutely failing to route any traffic? Never mind...), and from there I can connect to my hidden Pi(s), let's say for arguments sake it's called hiddenpi.local.
ssh pi@hiddenpi.localNow, I can SSH back again, setting up a SOCKS proxy: