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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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Print Dictionary Values Simplified Logic

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Here's for loop logic that says how to use Dictionary to get its data. I will present here how to use it as input In for loop. You can also call Dictionary as Map, Hash, or Associative array. Print dictionary values Below is my example. I have created a simple Dictionary called 'store.' Then, I will get its data using for-loop. Here's my previous post Python -  How to Lookup Dictionary By Key . Dictionary example Store = { "rao" : 1, "srini' : 2} For-loop logic for key in store:       print (key, store[key]) Laptop batteries can last longer if you charge them up to only 80% instead of the full 100%. - By Lifehack.org Real-time result The execution of for loop showed here. It's much simple. Just use the code as I did. You'll get the desired result quickly. References Python for Everybody: Exploring Data in Python 3 SOFT SKILLS for a BIG IMPACT: Banish Self-Doubt, Improve Workplace Ethics
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