Featured Post

14 Top Data Pipeline Key Terms Explained

Image
 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

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

How to Fix datetime Import Error in Python Quickly

SQL Query: 3 Methods for Calculating Cumulative SUM

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