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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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Top 20 highest paying working from home jobs

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U.S. businesses will spend half a billion dollars hiring remote freelance workers in 2014. "The growth is a clear indicator of a transition of work online," says Fabio Rosati, CEO of Elance-oDesk.

The company's platform — which serves as a broker between companies that need skills and freelancers eager to supply them — sees 2.7 millio n freelance jo bs posted a year. According to Elance-oDesk , the total earnings of freelancers have grown 50% compounded annually over the past five years.

From Rosati's perspective, so many businesses are hiring these workers because they need work done on demand, typically for a short stint. In those cases...
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