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Python: Built-in Functions vs. For & If Loops – 5 Programs Explained

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Python’s built-in functions make coding fast and efficient. But understanding how they work under the hood is crucial to mastering Python. This post shows five Python tasks, each implemented in two ways: Using built-in functions Using for loops and if statements ✅ 1. Sum of a List ✅ Using Built-in Function: numbers = [ 10 , 20 , 30 , 40 ] total = sum (numbers) print ( "Sum:" , total) 🔁 Using For Loop: numbers = [ 10 , 20 , 30 , 40 ] total = 0 for num in numbers: total += num print ( "Sum:" , total) ✅ 2. Find Maximum Value ✅ Using Built-in Function: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = max (values) print ( "Max:" , maximum) 🔁 Using For and If: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = values[ 0 ] for val in values: if val > maximum: maximum = val print ( "Max:" , maximum) ✅ 3. Count Vowels in a String ✅ Using Built-ins: text = "hello world" vowel_count = sum ( 1 for ch in text if ch i...

Tableau 2 Top Books to Read

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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