Унмаршалинг или парсинг JSON на golang
package main
import (
"encoding/json"
"fmt"
)
func main() {
type TmpData struct {
Email string `json:"email"`
Cart []struct {
Name string `json:"name"`
Price string `json:"price"`
Count string `json:"count"`
Total string `json:"total"`
} `json:"cart"`
}
var tmpW TmpData
empJson := `{"email":"asdf@adsf.com","cart":[{"name":"Товар 1","price":"79.99","count":1,"total":"79.99"},{"name":"Товар 2","price":"179.99","count":1,"total":"79.99"}]}`
json.Unmarshal([]byte(empJson), &tmpW)
fmt.Printf("%+v\n", tmpW.Cart[1].Name)
for _, v := range tmpW.Cart {
fmt.Println("value:", v.Name)
}
}
Bathe – самая простая стартовая тема WordPress
Включает в себя Sass, PostCSS, Autoprefixer, stylelint, Webpack, ESLint, imagemin, Browsersync и т.д.
danfojs – мощный набор инструментов для анализа данных javascript
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.jsdelivr.net/npm/danfojs@0.1.1/dist/index.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="div1"></div>
<div id="div2"></div>
<div id="div3"></div>
<script>
dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
.then(df => {
df['AAPL.Open'].plot("div1").box() //makes a box plot
df.plot("div2").table() //display csv as table
new_df = df.set_index({ key: "Date" }) //resets the index to Date column
new_df.plot("div3").line({ columns: ["AAPL.Open", "AAPL.High"] }) //makes a timeseries plot
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>