Du code propre, livré vite, du script au site complet

1from flask import Flask, jsonify, request23app = Flask(__name__)4tasks = []56@app.get("/tasks")7def list_tasks():8    return jsonify(tasks)910@app.post("/tasks")11def add_task():12    data = request.get_json()13    if not data or not data.get("title"):14        return jsonify({"error": "title is required"}), 4001516    task = {"id": len(tasks) + 1, "title": data["title"], "done": False}17    tasks.append(task)18    return jsonify(task), 2011920if __name__ == "__main__":21    app.run(debug=True)

1const total = prices.reduce((sum, price) => {2  sum + price3}, 0);

1<section class="hero">2  <div class="container">3    <p class="eyebrow">Organisation simple</p>4    <h1>Planifiez votre semaine en 30 minutes.</h1>5    <p>Un système clair pour choisir vos priorités et avancer sans surcharger votre agenda.</p>6    <a class="button" href="#offre">Découvrir la méthode</a>7  </div>8</section>

1const search = document.querySelector("#search");2const products = document.querySelectorAll(".product");34search.addEventListener("input", () => {5  const query = search.value.toLowerCase().trim();67  products.forEach((product) => {8    const name = product.dataset.name.toLowerCase();9    product.hidden = !name.includes(query);10  });11});

1import pandas as pd23def nettoyer_csv(source: str, destination: str) -> str:4    df = pd.read_csv(source)5    df.columns = [6        col.strip().lower().replace(" ", "_")7        for col in df.columns8    ]9    df = df.drop_duplicates()10    df = df.fillna("")11    df.to_csv(destination, index=False)12    return f"Fichier nettoyé : {destination}"1314print(nettoyer_csv("clients.csv", "clients_nettoyes.csv"))