Filter SQLAlchemy Query for Records Created Between Specific Dates

Managing data efficiently is a cornerstone of modern web and application development. SQLite, a lightweight and serverless database engine, is an excellent choice for applications that require a simple, reliable, and efficient database solution. In this tutorial, you'll learn how to connect a Node.js application to an SQLite database using the sqlite3 library. You'll also discover how to create a table named "accounts," insert data, and retrieve information from the database.

SQLite is a self-contained, high-reliability, embedded, full-featured, public-domain SQL database engine. Unlike traditional database management systems (DBMS) like MySQL or PostgreSQL, SQLite doesn't require a separate server process. Instead, it reads and writes directly to ordinary disk files, making it an ideal choice for:

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Use axios or fetch to retrieve posts from the API:

   import React, { useState, useEffect } from 'react';
   import axios from 'axios';

   function Posts() {
       const [posts, setPosts] = useState([]);

       useEffect(() => {
           axios.get('/api/posts')
               .then(response => {
                   setPosts(response.data);
               })
               .catch(error => {
                   console.error('There was an error fetching the posts!', error);
               });
       }, []);

       return (
           <div>
               <h1>Posts</h1>
               <ul>
                   {posts.map(post => (
                       <li key={post.id}>{post.title}</li>
                   ))}
               </ul>
           </div>
       );
   }

   export default Posts;

Add the createBook function to main.go:

func createBook(w http.ResponseWriter, r *http.Request) {
	w.Header().Set("Content-Type", "application/json")
	var book Book
	_ = json.NewDecoder(r.Body).Decode(&book)
	book.ID = "b" + string(len(books)+1) // Simple ID generation
	books = append(books, book)
	json.NewEncoder(w).Encode(book)
}