Sobes.tech
Junior — Middle

How to implement the transfer of large volumes of data to the client in a frontend application?

sobes.tech AI

Answer from AI

To transmit large volumes of data to the client in a Python frontend application, the following approaches are usually used:

  1. Pagination — divide data into pages and send in parts to avoid overloading the network and client.
  2. Streaming — send data in parts as it is generated.
  3. Data compression — use gzip or other HTTP response compression methods.
  4. Using formats with efficient serialization (e.g., JSON, protobuf).

Example of a simple API with pagination in Flask:

from flask import Flask, request, jsonify

app = Flask(__name__)

DATA = list(range(10000))  # large volume of data

@app.route('/data')
def get_data():
    page = int(request.args.get('page', 1))
    per_page = int(request.args.get('per_page', 100))
    start = (page - 1) * per_page
    end = start + per_page
    return jsonify(DATA[start:end])

This way, the client can request data in portions, reducing the load.