juanpabloaj

// package main example of the book Concurrency in Go by Katherine Cox-Buday
// it includes the patterns: orChannel, orDone, take, and bridge.
// newSteward monitors a goroutine and restarts it if it stops sending heartbeats
package main

import (
	"log"
	"time"
)

juanpabloaj

import os
import urllib.request
import urllib.parse

TELEGRAM_TOKEN = os.environ["TELEGRAM_TOKEN"]
TELEGRAM_CHANNEL_ID = os.environ["TELEGRAM_CHANNEL_ID"]

telegram_url = f"https://api.telegram.org/bot{TELEGRAM_TOKEN}/sendMessage"
telegram_url += f"?chat_id={TELEGRAM_CHANNEL_ID}"

juanpabloaj

// go playground
// https://go.dev/play/p/3HjtqJlbMnE
package main

import (
	"log"
	"time"
)

func main() {

juanpabloaj

imgs
.DS_Store
node_modules

juanpabloaj

#!/bin/bash

# get channel id
# https://api.telegram.org/bot<YourBOTToken>/getUpdates

# crontab
#  */5 * * * bash /path/gas_alert.sh 2>&1 | logger -t gas_alert

cheapPrice="80"
url="https://api.etherscan.io/api?module=gastracker&action=gasoracle"

juanpabloaj

# pip install ohlc; apt install jq
# with other token, ohlcbtc ETHUSDT
ohlcbtc () {
	token=${1:-BTCUSDT}

	while true;
	do
		ohlc --pab --ha -n <( curl "https://api.binance.com/api/v3/klines?symbol=${token}&interval=1h" 2>/dev/null | jq -r '.[][1:5]|join(" ")' )
		sleep 3600
	done

juanpabloaj

from web3 import Web3

# https://web3py.readthedocs.io/en/stable/quickstart.html
# https://docs.matic.network/docs/develop/network-details/network/
w3 = Web3(Web3.HTTPProvider("https://rpc-mainnet.matic.network"))

print(w3.isConnected())

print(w3.eth.block_number)

juanpabloaj

require Logger

Logger.configure_backend(:console, format: "$time $metadata[$level] $levelpad$message\n")

# more colores in
# https://hexdocs.pm/elixir/1.12/IO.ANSI.html

Logger.info("colorful log line", ansi_color: :black)
Logger.info("colorful log line", ansi_color: :blue)
Logger.info("colorful log line", ansi_color: :cyan)

juanpabloaj

# /etc/systemd/system/docker_clean_old.service
[Unit]
Description=delete old containers

[Service]
CPUQuota=20%
TimeoutSec=3600
ExecStart=/bin/bash /root/opt/bin/docker_clean_old

juanpabloaj

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib

sns.set(rc={'figure.figsize':(14,12)})

file_name = "duration_per_project.csv"
df = pd.read_csv(file_name, ';')