Python Coding Challenges

Overview

Goal: Build strong, intuitive Python fluency through a series of small, self-contained challenges that combine logical reasoning, data manipulation, and lightweight system design.
Each challenge mirrors a realistic problem, encouraging flexible and creative approaches rather than step-by-step replication.

Approach

• Designed a progressive learning framework with 30–60 min projects.
• Each project emphasises:
  • Choosing the right data structure for the task.
  • Writing clear, modular, and reusable code.
  • Reflecting on design trade-offs and reasoning behind implementation choices.
• Scaffolding levels (easy, moderate, hard, and very hard) gradually reduce guidance to foster autonomy and real-world coding intuition.

Stack

• Language: Python 3
• Environment: Jupyter Notebook / VS Code

Impact

• Strengthens reasoning and design fluency across diverse Python paradigms.
• Builds habits of clean coding, modular thinking, and defensive programming.
• Demonstrates structured self-learning and applied problem-solving capabilities relevant to data science and software development

Links & Resources

• 💻 Code repository: GitHub – Python Coding Challenges