Featured Post

Step-by-Step Guide to Reading Different Files in Python

Image
 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...

How to Create a Symmetric Array in Python

 Here's a Python program that says to write a Symmetric array transformation. A top interview question.


Symmetric array example


Symmetric Array Transformation

Problem:


Write a Python function that transforms a given array into a symmetric array by mirroring it around its center. For example:

  • Input: [1, 2, 3]
  • Output: [1, 2, 3, 2, 1]

Hints:

  • Use slicing for the reverse part.
  • Concatenate the original array with its mirrored part.

Example

def symmetric_array(arr):
    """
    Transforms the input array into a symmetric array by mirroring it around its center.

    Parameters:
    arr (list): The input array.

    Returns:
    list: The symmetric array.
    """
    # Mirror the array by concatenating the original with its reverse (excluding the last element to avoid duplication)
    return arr + arr[-2::-1]

# Example usage
input_array = [1, 2, 3]
symmetric_result = symmetric_array(input_array)
print("Input Array:", input_array)
print("Symmetric Array:", symmetric_result)

Output:

For the input [1, 2, 3], the output will be:

Input Array: [1, 2, 3] Symmetric Array: [1, 2, 3, 2, 1]

Explanation

  1. arr[-2::-1]:

    • This slices the array in reverse order starting from the second-to-last element to avoid duplicating the middle element.
  2. Concatenation (+):

    • Combines the original array with its mirrored part to create symmetry.

Comments

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

5 SQL Queries That Popularly Used in Data Analysis

Step-by-Step Guide to Reading Different Files in Python