PromptBase
Close icon
Explore
Marketing & BusinessDown chevron icon
General
Home
Marketplace
Apps
Create
Hire
Login
Sell
Outlined heart icon
🤖 GPT

Code Explainer

Code Explainer gpt prompt mini thumbnail
2Heart icon
Favorites
26Eye icon
Views
TestedTick icon
TipsTick icon
Coder confused by cryptic code? 😵 Our mega-smart AI decrypts any code snippet into simple English in seconds. 💡 Just plug and play - understand code logic fast without technical jargon slowing you down. Decode programs like a pro!
...more
$3.99
Get prompt
Add to cart icon
After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
9 months ago

Prompt Details

Model
Chat - GPT-4 (gpt-4)
Token size
120 ($0.00360 / call)
Example input
[code snippet]: import requests from bs4 import BeautifulSoup url = 'https://example.com' response = requests.get(url) html = response.text soup = BeautifulSoup(html, 'html.parser') h1_tags = soup.find_all('h1') for h1 in h1_tags: print(h1.text) all_links = soup.find_all('a') for link in all_links: print(link['href']) article_divs = soup.find_all('div', class_='article') for div in article_divs: headlines = div.find('h2').text summaries = div.find('p').text print('Headline:', headlines) print('Summary:', summaries)
Example output
Absolutely! This code is designed to gather information from a website and organize it in a readable way. It's like a digital detective that fetches data from a web page and presents it in an organized manner. Here's what each part does: 1. **Importing Libraries**: The code first brings in two special libraries: `requests` helps get data from websites, and `BeautifulSoup` helps make sense of that data. 2. **Fetching the Webpage**: It takes the URL of a webpage (let's say "https://example.com") and uses the `requests` library to fetch the webpage's content. This content is the raw HTML that makes up the webpage. 3. **Creating a Soup**: The fetched HTML is then fed into `BeautifulSoup`, which is like a virtual chef for web pages. It helps extract specific pieces of information, like headings, links, and paragraphs. 4. **Finding Headings**: The code searches for all the "h1" tags in the HTML. These are often used for main headings on a webpage. It then prints out the text within each of these "h1" tags. 5. **Finding Links**: Similarly, it hunts down all the "a" tags (anchors) in the HTML. These usually represent links. The code extracts and prints the URLs these links point to. 6. **Gathering Articles**: Now, the code looks for "div" elements with a class named "article". These might represent individual articles on the webpage. For each of these divs, it finds the "h2" element (a smaller heading) and the "p" element (a paragraph). It then prints out the headlines and summaries of these articles. This code uses basic programming ideas like fetching data, searching for specific elements, and printing out results. It's great for situations where you want to collect information from websites – like gathering news headlines, blog post summaries, or other data organized on a webpage. Think of it as a tool that extracts useful bits from the digital world and makes them easy to understand!
Browse Marketplace