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How to Create a Symmetric Array in Python: A Fun Logic Exercise

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 Here's a Python program that says to write a Symmetric array transformation. A top interview question. 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_arr...
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Tableau 2 Top Books to Read

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In this post, I have given two top data visualization in Tableau books. These books helpful for your self-study.  


Tableau 2 Top Books to Read

Top Tableau Course Contents


  • Introduction to Tableau 
  • Connecting to data 
  • Visual analytics 
  • How to design dashboard 
  • Mapping 
  • Calculations 
  • How to publish and Manage with Tableau 
  • Security with Tableau .....Read more.

Two Best books on Tableau to Learn and Visualize the Data.


#1. Learning Tableau

  • Learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics. 
  • It might just transform your organization About This Book
  • Create stylish visualizations and dashboards that explain complexity with clarity.
  • Learn effective data storytelling to transform how your business uses ideas and makes decisions
  • Explore all the new features in Tableau 10 and start to redefine what business. analytics means to your organization.

#2. How to create Data Visualization in Tableau 

  • Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization.
  • It covers the core feature set for data analytics, illustrating best practices for creating and sharing effective visualizations that support timely business decision-making.
  • The author also covers little-known as well as more advanced features and techniques, illustrating them using detailed, real-world case studies that the author has developed as part of his consulting and training.

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