vlad-bezden

/*
Write a program that randomly places nickels ($0.05), dimes ($0.10),
and quarters ($0.25) into an empty piggy bank until it contains at least $20.00.
Display the running balance of the piggy bank after each deposit,
formatting it with an appropriate width and precision.
*/

package main

import (

vlad-bezden

package main

import "fmt"

func main() {
	piggyBank := 0.0
	for i := 0; i < 11; i++ {
		piggyBank += 0.1
	}
	fmt.Println("Using addition 11 times", piggyBank)

vlad-bezden

package main

import "fmt"

func main() {
	fmt.Println("1. Division First")
	celsius := 21.0
	fmt.Print((celsius/5.0*9.0)+32, "° F\n")
	fmt.Print((9.0/5.0*celsius)+32, "° F\n\n")

vlad-bezden

gen = (random.randrange(1, 100, 2) for _ in itertools.count())
# or
gen = (random.randrange(1, 100, 2) for _ in itertools.cycle("Happy Coding!"))

# usage:
for n in gen:
  print(n)

vlad-bezden

import urllib.request
import json
from pprint import pprint

url = "<some_url>"

values = {
    "first_name": "Vlad",
    "last_name": "Bezden",
    "email": "[email protected]",

vlad-bezden

package main

import (
	"flag"
	"fmt"
	"time"
)

var n int

vlad-bezden

{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "build",
            "type": "shell",
            "command": "go build <project name>",
            "group": {
                "kind": "build",
                "isDefault": true

vlad-bezden

import asyncio
import random
import logging
from collections import namedtuple
import uuid
import string

logging.basicConfig(level=logging.INFO)

Message = namedtuple("Message", ["msg_id", "inst_name"])

vlad-bezden

import logging as logger
from logging.handlers import RotatingFileHandler

logger.basicConfig(
    level=logger.INFO,
    format="%(asctime)s - %(levelname)s - %(message)s",
    datefmt="%Y-%m-%d %H:%M:%S",
    handlers=[
        RotatingFileHandler(
            "log_info.log", maxBytes=1_000_000, backupCount=10

vlad-bezden

import pandas as pd

df = pd.Timestamp("2019-04-12")
print(f"{df}, {df.dayofweek}, {df.weekday_name}")

# 2019-04-12 00:00:00, 4, Friday