Python is which type of language?

 In the context of Python programming language, the Python programming language is considered a versatile programming language. It is classified as a high-level language, interpreted programming language. It can support various or even multiple programming language paradigms such as procedurally, object-oriented, and also functionality programming. The syntax of Python programming language is designed to be clear and readable, which helps in making it easy to learn and also maintain. The extensive standard library of the Python programming language and also the third-party package can offer a robust task from web development and data analysis to artificial intelligence and scientific computing. Its interpreted nature can allow you rapid prototyping and also development which would facilitate you in quick iteration and debugging cycles.

Here is the example code given which would demonstrate the versatility of Python programming language by performing a common task like reading data from a CSV file, processing it, and then displaying the results:-

Import csv

# Function to read data from CSV file and process it

Def process_csv(filename):

    With open(filename, ‘r’, newline=’’) as file:

        Reader = csv.reader(file)

        Next(reader) # Skip header

        For row in reader:

            # Assume the CSV has columns: Name, Age, Occupation

            Name, age, occupation = row

            Print(f’{name} is {age} years old and works as a {occupation}’)

# Example usage

If __name__ == “__main__”:

    Csv_file = ‘example.csv’

    Process_csv(csv_file)

Here is another example of Python programming language versatility by implementing a simple web scrapping script by using the requests and Beautiful Soup libraries. This script would fetch and parse the data from a website:-

Import requests

From bs4 import BeautifulSoup

# Function to scrape data from a website

Def scrape_website(url):

    # Send HTTP GET request to the URL

    Response = requests.get(url)

    # Check if request was successful (status code 200)

    If response.status_code == 200:

        # Parse the HTML content using BeautifulSoup

        Soup = BeautifulSoup(response.content, ‘html.parser’)

        # Example: Scraping headlines from a news website

        Headlines = soup.find_all(‘h2’, class_=’headline’)

        # Print the headlines

        For index, headline in enumerate(headlines, start=1):

            Print(f’{index}. {headline.text.strip()}’)

    Else:

        Print(f’Failed to retrieve data from {url}. Status code: {response.status_code}’)

# Example usage

If __name__ == “__main__”:

    Target_url = ‘https://example.com/news’

    Scrape_website(target_url)