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Step-by-Step Guide to Reading Different Files in Python

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 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...
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Scraping Website: How to Write a Script in Python

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Here's a python model script to scrape a website using the BeautifulSoup.


Scrapping website

Python script

The logic below uses BeautifulSoup Package for web scraping.


import requests

from bs4 import BeautifulSoup

url = "https://www.example.com"

response = requests.get(url)

soup = BeautifulSoup(response.text, "html.parser")

# Print the title of the webpage

print(soup.title.text)

# Print all the links in the webpage

for link in soup.find_all("a"):

    print(link.get("href"))



In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage.

We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console.

This is just a basic example, but you can use Beautiful Soup to extract any other HTML elements you want from the webpage.

References

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