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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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For a trainee software engineer who is a fresh college pass out the salary falls somewhere between INR 1.5 to 2.5 Lakhs per Annum. This increases as one climbs up the career ladder – with a figure of INR 3.0 to 6.0 Lakhs per Annum for software engineer/programmer analysts, INR 4.5 – 10.0 Lakhs per Annum for senior software engineer, INR 6.0 – 13.0 Lakhs per Annum for project lead and INR 8.0 – 19.0 Lakhs per Annum for program manager.

 In addition to the high salaries, there is lot of international assignments which requires travel to different countries for the talented ones. One has to keep oneself constantly updated with the newer skills and emerging technologies so as not to become an obsolete resource.

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