Step-by-Step Guide to Reading Different Files in Python
 
 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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Hello Srini
ReplyDeleteJust read your article on vault -v- vaultless, this question can only be answered depending on the vault itself - was it built to be scalable? Does it store every transaction? Quite simply no it does not, but like i say it all depends on how the vault was built. Is it more secure than vaultless - definately.
Vault-less is reversible security method that replaces sensitive data with fake data that looks and feels just like the real thing. So vault-less is advanced than Vault.
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