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Showing posts with the label error logic

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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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Python Function: How to Write Error Logic

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Here's an example python user-defined function. Here, you'll know how to write error conditions. The best examples is if and else. I have shared the logic here for your reference. Python is one of the top programming languages. Python does support Functions . While writing functions you also need to consider some errors. Those are called exceptions. I am explaining how to give error logic in a function of Python. Exception-handling means to have logic for error scenarios. Writing exception I will show in a simple Function. In this post I will give you syntax for writing function and exception.  Here is my simple Function that multiplies two numbers. Logic to write Function in Python to Multiply Two Numbers  def product (num1,num2): prod=num1*num2 print( ' The product of the numbers is \t: '+str(prod) Parameters used the Python Function The 'def' means you are defining function with a name of 'product'. In the parameters of 'product', you can s...
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