This guide will help set up your django project to use ReactJS
- django-webpack-loader==0.4.1 ( Connects Django project with Webpack)
| name | gender | race | |
|---|---|---|---|
| barjraj | m | indian | |
| ramdin verma | m | indian | |
| sharat chandran | m | indian | |
| birender mandal | m | indian | |
| amit | m | indian | |
| kushal | m | indian | |
| kasid | m | indian | |
| shiv prakash | m | indian | |
| vikram singh | m | indian |
| name | gender | race | |
|---|---|---|---|
| shivani | f | indian | |
| isha | f | indian | |
| smt shyani devi | f | indian | |
| divya | f | indian | |
| mansi | f | indian | |
| mazida | f | indian | |
| pooja | f | indian | |
| kajal | f | indian | |
| meena | f | indian |
| package main | |
| import ( | |
| "io/ioutil" | |
| "log" | |
| "strings" | |
| "net/http" | |
| "encoding/json" | |
| "fmt" | |
| "time" |
| # See official docs at https://dash.plotly.com | |
| # pip install dash pandas | |
| from dash import Dash, dcc, html, Input, Output | |
| import plotly.express as px | |
| import pandas as pd | |
| df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv') |
| backend per_ip_rates | |
| stick-table type ip size 1m expire 10m store http_req_rate(10s) |