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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...

How to Prepare Resume Using Online Tool

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Here are five ideas to prepare resume using online tools. The resume surely will impress  HR and interviewer. Ideas for Online Resume Here is an open-source tool so that anyone can build a digital resume on their own domain . (It’s free.)  Don’t just showcase your relevant work experience; showcase your personality.  Set up a professional email, preferably at your own domain name.  Empower others to spread the message for you (Social media) Think outside the box to creatively get the attention of decision makers. Related 7 Tips to prepare resume Exclusive ideas to prepare resume for IT jobs