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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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How to Delete an Item from a Set in Python: Best Example

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Set is a built-in data type in Python. Furthermore, it is an unordered collection without duplicate items. Here are the two methods that explain to delete an item from a Set.

Methods to delete an item from a Set

  • discard
  • remove



Discrd Vs. Remove


  • discard() will not raise an error if the item to remove does not exist.
  • The remove() will raise an error if the item does not exist.


Remove items from Set


Explanation to discard and remove methods


Python program:

#Prints all the Set items

food = {"pasta", "burger", "hot dog", "pizza"}

print(food)


# Prints the Set items without pasta

food.discard("pasta")

print(food)


# Prints the Set items without burger and pasta

food.remove("burger")

print(food)


# The next two lines try to remove an item that isn't in the set!

food.discard("pasta")  # this will not report an error

food.remove("pasta")   # this will report an error


The output:

{'pasta', 'burger', 'pizza', 'hot dog'}

{'burger', 'pizza', 'hot dog'}

{'pizza', 'hot dog'}

Traceback (most recent call last):

  File "main.py", line 12, in <module>

    food.remove("pasta")   # this will report an error

KeyError: 'pasta'


** Process exited - Return Code: 1 **

Press Enter to exit terminal


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