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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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Here is Sample Logic to get Random numbers in Bash

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How to generate random number



Here's a bash script to generate a random number. You can use this logic to generate a random number, and it is useful for AWS engineers.

Random number


Script - Here's sample logic to get a random number



RANDOM=$$ # Set the seed to the PID of the script
UPPER_LIMIT=$1
RANDOM_NUMBER=$(($RANDOM % $UPPER_LIMIT + 1))
echo "$RANDOM_NUMBER"



If you select UPPER_LIMIT as 100, then the result would be a pseudo-random number between 1 and 100.

Her is the output after executing the script





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