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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...

6 Top IT Skills that have Huge demand for the next 5 Years

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These are top IT skills you need to know. Also, these are highly employable skills. These you can say as digital skills. Digital skills fetch you best salary, according to surveys by top job portals . 6 Top IT SKills SAS and R Programming Full stack development Data Engineering Data Scinece Mobile development - Perl, Ruby and Python Middleware integration software. The Bottom Line The trend is now changed. You can attend off-line and On-line courses and you can practices daily two hours. Within 2 or 3 months you can be perfect. Select any one skill for your employability. You cannot learn all the skills. It is dofficult to tell answers in the interviews.