Python Tutorial Development Tutorials, Guides & Insights

Instead of writing custom scripts for every client, I made a generic scraper that could handle multiple websites. I put it up for sale on Gumroad and Sellix for $19.99, and people started buying it.

I created a tutorial on "How to Scrape Websites with Python" and added an affiliate link to a web scraping API. Every time someone signed up, I got a commission.

لنبدأ بإنشاء مجموعة بيانات بسيطة تتضمن الأسئلة الشائعة والردود:

# قاعدة بيانات للأسئلة والردود
qa_pairs = {
    "مرحبا": "أهلاً وسهلاً! كيف يمكنني مساعدتك اليوم؟",
    "كيف حالك؟": "أنا مجرد روبوت، لكنني بخير إذا كنت بخير!",
    "ما هو اسمك؟": "أنا روبوت دردشة بسيط. اسألني أي شيء!",
    "وداعاً": "وداعاً! أتمنى لك يوماً سعيداً."
}

def generate_numbers(start, end):
    for i in range(start, end):
        yield i

def filter_even(numbers):
    for num in numbers:
        if num % 2 == 0:
            yield num

def square(numbers):
    for num in numbers:
        yield num ** 2

# Chaining
numbers = generate_numbers(1, 10)
even_numbers = filter_even(numbers)
squared_numbers = square(even_numbers)

print(list(squared_numbers))  # Output: [4, 16, 36, 64]

The yield from statement allows a generator to delegate part of its operations to another generator.

# Serialize to JSON
user_json = user.json()
print(user_json)

# Deserialize from JSON
user_data = '{"id": 1, "name": "John Doe", "age": 25}'
user = User.parse_raw(user_data)
print(user)

Pydantic is deeply integrated with FastAPI, a modern web framework for building APIs. Here's how you can use Pydantic models with FastAPI:

On Windows:

   python -m venv myenv