為什麼程式設計師更喜歡高階語言，而不是低階語言？
因為這位專家的研究結果讓人深思：
美國軟體工程專家 Capers Jones 分析了 12,000 個軟體專案，發現兩個驚人的事實：
1️⃣ 程式設計師每個月平均能產出 325 到 750 行可以交付的代碼。
2️⃣ 使用的編程語言並不影響這個數字！
真實案例：Anna 和 Leo 的專案進展
他們的任務是一樣的：設計一個簡單的網站應用程式，從資料庫中讀取庫存數量，並顯示在網頁上。
Anna（低階語言） – 第 1 個月進度報告：
👉 進展：我寫了約 500 行低階語言代碼，完成了資料庫連線的初始化。
👉 計劃：下個月希望能開始發送查詢，再用 3 個月處理查詢結果，最後還要寫顯示網頁的代碼。整個專案大約需要 6-7 個月完成！
👉 優勢：低階語言效能高，未來可以在 0.01 秒內顯示結果！
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <mysql/mysql.h>
MYSQL *conn;
void initialize_db() {
conn = mysql_init(NULL);
if (!conn) {
printf("mysql_init() failed\n");
exit(EXIT_FAILURE);
}
if (mysql_real_connect(conn, "localhost", "user", "password", "inventory_db", 0, NULL, 0) == NULL) {
printf("Connection failed: %s\n", mysql_error(conn));
mysql_close(conn);
exit(EXIT_FAILURE);
}
printf("Database connection initialized successfully.\n");
}
int main() {
initialize_db();
// Further code for sending queries and handling responses goes here...
return 0;
}
Leo（高階語言） – 第 1 個月進度報告：
👉 進展：我寫了約 500 行高階語言代碼，程式可以直接從資料庫抓取資料並顯示在網頁上。
👉 結果：專案已完成，顯示結果約需 1 秒。
誰會在下個專案中被聘用？Anna 還是 Leo？
from flask import Flask, render_template_string
import sqlite3
app = Flask(__name__)
@app.route('/')
def display_stock():
conn = sqlite3.connect('inventory.db')
cursor = conn.cursor()
cursor.execute('SELECT widget_count FROM stock')
widget_count = cursor.fetchone()[0]
conn.close()
return render_template_string("""
<!DOCTYPE html>
<html>
<body>
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</html>
""", widget_count=widget_count)
if __name__ == '__main__':
app.run(debug=True)
💡 高階語言的關鍵優勢：效率與實用性！
高階語言讓開發更快速、更直觀，能滿足大多數應用場景需求。結果就是：高效完成工作更重要！
Reskill Lab是做什麼的？
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