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Showing posts with the label User input programs

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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...

2 User Input Python Sample Programs

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Here are the Python programs that work on taking user input and giving responses to the user. These are also called interactive programs.  Python enables you to read user input from the command line via the input() function or the raw_input() function. Typically, you assign user input to a variable containing all characters that users enter from the keyboard. User input terminates when users press the <return> key (included with the input characters). #1 User input sample program The following program takes input and replies if the given input value is a string or number. my_input = input("Enter something: ")  try:       x = 0 + eval(my_input)       print('You entered the number:', my_input)  except:       print(userInput,'is a string') Output Enter something:  100 You entered the number: 100 ** Process exited - Return Code: 0 ** Press Enter to exit terminal.  #2 User input sample program The fo...