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Showing posts with the label List Comprehension

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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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2 Tricky Examples Python List Comprehension

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Here are the tricky examples of list comprehension. These examples useful for your project and interviews as well. 1. Printing odd numbers Reminder checking logic used here. If it is not equal to zero when you divide the number with 2, it treats the input number as odd and prints it. lst1 = [x for x in range(40) if x % 2 != 0] print('First 20 Odd Numbers:') print(lst1) 2. Printing even numbers Reminder checking logic used here. If it is equal to zero when you divide the number with 2, it treats the input number as even and prints it. lst2 = [x for x in range(40) if x % 2 == 0] print('First 20 Even Numbers:') print(lst2) Output from the Python scripts First 20 Odd Numbers:  [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39] First 20 Even Numbers:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38]  ** Process exited - Return Code: 0 ** Press Enter to exit terminal Related The real use of Git in Dev Ops
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