newtoallofthis123

package main

import (
	"database/sql"
	"fmt"
	"os"

	_ "github.com/lib/pq"
	"golang.org/x/crypto/bcrypt"
)

newtoallofthis123

import numpy as np
from sklearn.model_selection import train_test_split
import pandas as pd

df = pd.read_csv(
    'https://raw.githubusercontent.com/johnmyleswhite/ML_for_Hackers/master/02-Exploration/data/01_heights_weights_genders.csv')
df.head()

BinaryGenders = np.zeros(len(df))

newtoallofthis123

:set number
:set relativenumber
:set autoindent
:set tabstop=4
:set shiftwidth=4
:set smarttab
:set softtabstop=4
:set mouse=a
:set guicursor=n-v-c-i:ver1
:set termguicolors

newtoallofthis123

import json
import re
import argparse

int_to_str_seperator = re.compile("([a-zA-Z]+)([0-9]+)")

parser = argparse.ArgumentParser()
parser.add_argument("molecular_formula",help="Give the molecular formula in the syntax 'C12|H12|OH1'")
args = parser.parse_args()

newtoallofthis123

#include <stdio.h>
#include <string.h>

struct Student {
	char name[100];
	int marks;
	int roll;
	float grade;
};

newtoallofthis123

#include <stdio.h>

int main(int argc, char const *argv[])
{
	int seconds, minutes, hours;
	scanf("%d", &seconds);
    hours = seconds / 3600;
    minutes = (seconds % 3600) / 60;
    seconds = (seconds % 3600) % 60;
    printf("%d:%d:%d", hours, minutes, seconds); 

newtoallofthis123

from rich.console import Console
from rich.panel import Panel
from rich.progress import Progress
from rich.columns import Columns
from rich.markdown import Markdown
from rich.table import Table
from rich import print
from rich.text import Text
from rich.json import JSON
from rich.prompt import Prompt, Confirm