Python Coding Challenges

A structured collection of Python coding challenges focused on strengthening problem-solving skills, logical thinking, and clean code practices.

This repository is continuously updated with new challenges as part of my ongoing journey to master Python fundamentals and algorithmic thinking.

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Objectives

• Strengthen Python fundamentals
• Improve logical reasoning
• Practice writing clean, readable code
• Apply structured problem-solving
• Build a strong GitHub coding portfolio

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Challenge Tracker

Day	Challenge	Difficulty	Status
01	Smart Number Analyzer	Beginner	✅ Completed
02	Number Frequency Analyzer	Beginner	✅ Completed
03	Expense Tracker Analyzer	Intermediate	✅ Completed
04	Password Strength Checker	Intermediate	✅ Completed

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Folder Structure

python-coding-challenges/
│
├── README.md
│
├── 01_smart_number_analyzer/
│   └── smart_number_analyzer.py
│
├── 02_number_frequency_analyzer/
│   └── number_frequency_analyzer.py
│
├── 03_expense_tracker_analyzer/
│   └── expense_tracker_analyzer.py
│
├── 04_password_strength_checker/
│   └── password_strength_checker.py
│
└── ... (more challenges coming)

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Tech Stack

Python 3 Command Line Interface (CLI)

Focus is on core programming concepts, not frameworks.

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Challenge Breakdown

Day 01 — Smart Number Analyzer

Features

• Even / Odd detection
• Positive / Negative / Zero identification
• Sum of digits using loop
• Input validation

Concepts Covered

• Conditional statements
• While loops
• Arithmetic operations

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Day 02 — Number Frequency Analyzer

Features

• Dictionary-based frequency counting
• Most & least frequent number detection
• Sorted output
• Menu-driven execution
• Error handling

Concepts Covered

• Dictionaries
• Loops
• Lambda sorting
• Clean formatting

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Day 03 — Expense Tracker Analyzer

Features

• Accept multiple expense entries from user
• Store expense categories and amounts using a dictionary
• Calculate total expense
• Display category-wise expense totals
• Identify highest and lowest expense categories
• Calculate average expense amount
• Input validation for incorrect or negative values
• Option to repeat the program

Concepts Covered

• Loops (for / while)
• Dictionaries
• Conditional statements
• Functions (modular programming)
• Exception handling (try-except)
• Basic data analysis using Python

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Day 04 — Password Strength Checker

Features

• Checks password length (minimum 8 characters)
• Detects uppercase letters
• Detects lowercase letters
• Detects numbers
• Detects special characters (! @ # $ % ^ & *)
• Classifies password as Strong / Medium / Weak
• Input validation and user feedback

Concepts Covered

• Conditional statements
• Loops
• String methods (isupper(), islower(), isdigit())
• Boolean logic

Notes

• Each challenge is self-contained in its own folder
• More challenges will be added regularly