1/10 Practical Scenarios in Python towards Data Engineering
From Basics to Brilliance: Tackle 10 Python challenges that sharpen your skills and boost confidence. These real-world tasks help you master fundamentals, ease programming anxiety, and build a strong foundation in data engineering through hands-on practice.
Learning by Doing: Why Practice Beats Passive Reading
Challenge #1 of the Top 10 Python Practice Questions: Real-world coding scenarios designed to boost your skills and guide your journey toward data engineering mastery
Reading tutorials and revisiting concepts repeatedly can only take you so far in your programming journey. True confidence comes from applying what you've learned—testing your understanding in real-world scenarios and identifying areas that need improvement. That’s where hands-on practice makes all the difference.
In this article, we’ll dive straight into ten practical Python challenges inspired by real-world day to day problems encountered by Data Engineers
We’ll start with beginner-friendly tasks and gradually ramp up the complexity, helping you build both skill and confidence step by step.
Let’s get started!
#1 - Count the Number of Vowels in a String
Count the Number of Vowels in a String
Problem:
Given a string S, write a Python program to count the number of vowels in it.
Valid vowels: a, e, i, o, u (case-insensitive)
Objective: Write a Python program that takes a string S as input and counts how many vowels it contains. The program should be case-insensitive, meaning it should treat uppercase and lowercase vowels the same.
Valid Vowels: Lowercase: a, e, i, o, u, Uppercase: A, E, I, O, U
Example:
Input: "This is Python Programming Challenge"
Output: Your string has 9 vowels
