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Showing posts with the label Python IF Condtions

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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 Check If Statement Multiple Conditions in Python and Ensure Tidy Code

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Here're examples for Python multiple if conditions (statements). These are useful for interviews and projects. Many programmers confuse to write IF logic in Python. Below examples useful for your quick reference. Multiple IF Conditions IF, IF IF 'ELSE' IF 'or' IF 'and' Nested IF IF 'continue' IF 'break' In Python, the decision-making logic you can write with IF condition. You can write multiple IF conditions (Single way decision). At the same time, you can write IF and ELSE conditions (Two-way decision). Multiple IF conditions the best example. def main():         celsius = float(input("What is the Celsius temperature? "))         fahrenheit = 9/5 * celsius + 32         print("The temperature is", fahrenheit, "degrees Fahrenheit.")  # Print warnings for extreme temps         i f fahrenheit > 90:                print("It's rea...
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