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دليل عملي: بناء روبوت دردشة (Chatbot) باستخدام Python و NLP

Tutorial December 12, 2024
python

حان وقت التفاعل مع الروبوت:

print("روبوت الدردشة: مرحباً! اكتب 'وداعاً' للخروج.")

while True:
    user_input = input("أنت: ")
    if "وداعاً" in user_input:
        print("روبوت الدردشة: وداعاً!")
        break
    response = chatbot_response(user_input)
    print(f"روبوت الدردشة: {response}")

Build a Multiplayer Game with Python and WebSockets

Tutorial December 10, 2024
python

Overview

In this tutorial, we’ll create a multiplayer game using Python and WebSockets. The game will be a simple real-time tic-tac-toe that multiple players can join via a browser. You’ll learn to combine Python’s asyncio and websockets library to handle real-time communication and Flask to serve the game interface.

Build a Voice-Controlled AI Assistant with Python

Tutorial December 10, 2024
python

Let’s add functionality to respond to basic tasks like saying the time, performing web searches, or opening apps.

import datetime
import pywhatkit

def process_command(command):
    if "time" in command:
        now = datetime.datetime.now().strftime("%H:%M")
        speak(f"The time is {now}")
    elif "search for" in command:
        query = command.replace("search for", "").strip()
        speak(f"Searching for {query}")
        pywhatkit.search(query)
    elif "play" in command:
        song = command.replace("play", "").strip()
        speak(f"Playing {song}")
        pywhatkit.playonyt(song)
    else:
        speak("I'm sorry, I can't perform that task yet.")

Building a Web Scraper to Track Product Prices and Send Alerts

Tutorial December 10, 2024
python

import requests
from bs4 import BeautifulSoup

# Target URL of the product
URL = "https://www.example.com/product-page"

# Headers to mimic a real browser
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
}

def get_product_price():
    response = requests.get(URL, headers=HEADERS)
    soup = BeautifulSoup(response.content, "html.parser")

    # Extract product name and price using CSS selectors
    product_name = soup.find("h1", {"class": "product-title"}).text.strip()
    price = soup.find("span", {"class": "price"}).text.strip()

    return product_name, float(price.replace("$", ""))

product, price = get_product_price()
print(f"{product}: ${price}")

Allow users to specify a desired price threshold and compare it with the current price.

Setting Up and Managing Python Virtual Environments Using venv

Tutorial August 29, 2024
python

To create a requirements.txt file that lists all the dependencies of your project, use:

pip freeze > requirements.txt