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Showing posts with the label Arguments in Python

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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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How to Use Arguments in Real Python Programs

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Here are four types of exclusive arguments in python. The arguments are passers to functions. These are Required arguments, Keyword arguments, Default arguments and Variable-length arguments. Here're 4 Important Arguments in Python The arguments supply input to functions . Because these are various types, herein you will know the details and usage of those types. Argument#1: Required arguments Positional arguments are known as  required arguments  and are passed to a function in the correct order. The arguments in the function call should match the number in the function definition. Sample program: def cal(a,b):     """program to calculate sum of 2 numbers"""     sum=a+b     return sum a=int(input("enter 1st number")) b=int(input("enter 2nd number")) print(cal(a,b)) Output enter 1st number 10 enter 2nd number 22 32 ** Process exited - Return Code: 0 ** Press Enter to exit terminal Argument#2: Keyword arguments A default argument is...
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