Featured Post

How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

Image
  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...

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

Big Data: Top Cloud Computing Interview Questions (1 of 4)