FBosler

FBosler

// .eslintrc.js
module.exports = {
  root: true,
  env: {
    node: true,
    es6: true,
  },
  parserOptions: { ecmaVersion: 8 }, // to enable features such as async/await
  extends: ['eslint:recommended', 'plugin:tailwind/recommended'],
  overrides: [

FBosler

{
  "semi": false,
  "singleQuote": true,
  "tabWidth": 2,
  "useTabs": false
}

FBosler

#CANONICAL-URL
FRONT_END_URL=http://localhost:3000
DOMAIN=localhost

...
#OTHER STUFF

FBosler

import numpy as np
import pandas as pd

samples = 100000
df = pd.DataFrame(
    {
        'col1':np.random.randint(2,100,samples),
        'col2':np.random.randint(2,100,samples),
        'col3':np.random.rand(samples)
    }

FBosler

const sample_data = [{'_id': 'cc7b7a9d8b9642299e3657af08dc0e2a',
  'name': 'zCKVZkcKvB',
  'net_worth': 45000},
 {'_id': '0ec97c94bc654b3a84f47591169f75eb',
  'name': 'LxfVwDeufE',
  'net_worth': 39000},
 {'_id': '1e2ea336022142c3be60ba174433c3d7',
  'name': 'ZjhiifKLCp',
  'net_worth': 68000},
 {'_id': '37ba69d4661744cdb4e6d2f3b66734ec',

FBosler

import uuid
import random
import string

# GENERATE SAMPLE DATA
sample_data = [{
    '_id': uuid.uuid4().hex,
     'name': ''.join(random.choices(
         [_ for _ in string.ascii_letters],
         k=10

FBosler

IN:
employees = [
    {
        "name": "John Don't",
        "performance": "medium",
        "salary": 10000
    },
    {
        "name": "Jane Does",
        "performance": "high",

FBosler

IN:
const employees = [
    {
        "name": "John Don't",
        "performance": "medium",
        "salary": 10000
    },
    {
        "name": "Jane Does",
        "performance": "high",

FBosler

import { Container, Row, Col } from 'react-bootstrap';
import { CardRefSteps, CardRefGifts, CardLowerPart } from './styles';
import Link from 'next/link';

const FAQReferral = () => {
    return (
        <Container>
            <Row
                style={{
                    marginTop: '5%',