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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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AWS Block Vs Object Storage Top Differences

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In AWS, Block and Object are two types of storage. I have given differences between these two. Why because storage is a prime concept in the cloud environment.

Object Vs Block Storage

Why are these names different? Because these two are different storage types - Object and Block.


Object Storage


  • Object means it is a single object. You are not dividing here.
  • In the context of AWS, object storage helps your file to store as-is. How big it does not matter.
  • Let your file size is 10MB. Then, it saves as a 10 MB file.
  • What happens when you update a 30MB file. It deletes the old object and creates a brand new one.
  • For small changes, you need to update the whole file. So, it utilizes a lot of resources.
  • Object storage is much better for big files and very few changes.
  • AWS manages object storage.
  • AWS has full control over Object storage.


Block Storage


  • Block storage divides your file into blocks.
  • You have selected a block size of 512 bytes. If you want to upload a 10MB file, it then divides the whole file into 20 blocks.
  • When you want to update a single character, it updates only that Block. It will not touch other blocks.
  • You can save network and bandwidth use in Block storage.
  • When the changes are more, and you want to update very often, then Block storage is much better.
  • In Block storage volumes are mountable.
  • AWS has no visibility on blocks inside of Block storage.
  • It has visibility only on Block volumes.

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