🐍 Python Practice Sets (Kaggle Exercises)

📌 Overview

This repository contains my Python practice sets based on Kaggle Python exercises. I already have a working knowledge of Python, and this repository is used purely for regular practice, revision, and sharpening problem‑solving skills through hands-on exercises.

These exercises help me stay interview-ready, maintain strong Python fundamentals, and continuously improve efficiency and clarity in coding — especially for Data Science, Data Analysis, and Machine Learning roles.

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🎯 Objectives

• Regular Python practice and revision
• Improve speed, accuracy, and clean coding habits
• Strengthen problem-solving and logical thinking
• Stay interview-ready for technical rounds
• Reinforce Python concepts used in Data Science & Machine Learning

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🧠 Topics Covered

• Python Syntax & Variables
• Data Types (int, float, string, list, tuple, set, dictionary)
• Conditional Statements (if-else)
• Loops (for, while)
• Functions
• Lists & List Comprehensions
• Strings & String Methods
• Boolean Logic
• Error Handling (try-except)
• Basic Python for Data Science

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🚀 Source of Practice

All exercises are taken from Kaggle Learn – Python Course:

• Python Basics
• Intro to Programming
• Intermediate Python

Each notebook contains:

• Problem statements
• My solutions
• Clean and readable code

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🛠️ Tools & Technologies

• Language: Python 🐍
• Platform: Kaggle Notebooks
• IDE: Jupyter Notebook / VS Code

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📈 Practice Progress

This repository will be updated regularly as I:

• Practice additional Kaggle exercises for consistency and revision
• Improve code quality
• Add explanations and optimized solutions

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🤝 Contributions

This is a personal learning repository, but suggestions and improvements are always welcome.

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📬 Connect With Me

👨‍💻 Author

Bhupendra Shivhare

Aspiring Data Scientist | Deep Learning Enthusiast

• LinkedIn: www.linkedin.com/in/bhupendra-shivhare-a8a02a25b

• 📧 Email: shivharebhupendra@gmail.com

If you’re also learning Python or preparing for Data Science roles, feel free to connect!

⭐ If you find this repository helpful, don’t forget to star it!

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Happy Coding! 🚀