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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...

Telecom Domain Knowledge Useful For a Data Analyst

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Telecom companies provide five kinds of services. Those are Voice, Data, Toll-free, internet, and wireless. The given Telecom domain knowledge helpful for data analysis projects. 5 Top Telecom Services. Voice Toll-free Data service Internet Wireless  Telecom Domain Knowledge Useful for IT developers, Data Analysts, and Software Testers   In addition to the above, the latest services are Internet and wireless. Domain knowledge is crucial to design and develop the code. 1. Voice service This is the standard phone service that you have been using since the first time you called your Grandma to thank her for a birthday present. You need voice service. 2. Toll-free service A toll-free number is a special-number; that enables calls to come in from anywhere without incurring a charge to the caller. The called party pays a toll tariff for the Call. How much the called party pays for a call depends on the arrangements made with the long-distance carrier.  If you look at all...