🔥 ShadowFox Python Development Internship – By Krishna Potdar (@krisp619)

Welcome to my official repository for the ShadowFox Python Development Internship.
This repo includes all my tasks across Beginner, Intermediate, and Advanced levels, developed with clean code, proper structure, and a problem-solving mindset.

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🧠 Internship Task Breakdown

✅ Task 1: Beginner Level (5 Python Programs)

• Task01_Variables.py – Basic variables, data types, and simple interest calculation
• Task02_Numbers.py – Area, speed calculations, and formatted numerical output
• Task03_List.py – Justice League list operations and member handling
• Task04_IfCondition/ – BMI checker, country logic, and condition-based flow
• Task05_ForLoop/ – Dice roll simulator with frequency tracking

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⚙️ Task 2: Intermediate Level Projects

• hangman_game.py – Classic word guessing game with user lives
• web_scraper.py – Python script using BeautifulSoup to scrape quotes from a website and save them to CSV

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🚀 Task 3: Advanced Level – Fielding Performance Analyzer

• 📊 Fielding_Analysis.ipynb – Advanced cricket fielding analysis using Python
• 📁 cricket_fielding_analysis.csv – Exported match-wise fielding event dataset
• 📊 cricket_fielding_analysis.png – Visual performance summary (matplotlib/seaborn)
• 🧪 Built with simulated match data (3 players: MS Dhoni, Virat Kohli, Ravindra Jadeja)
• 📝 Performance metrics include: Total Score, Runs Saved, Positive Actions, Consistency, and Success Rate

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💡 Technologies Used

• Python 3
• Pandas
• NumPy
• Matplotlib & Seaborn
• BeautifulSoup (Web Scraping)
• Jupyter Notebook
• Git & GitHub

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📂 How to Run This Repository

1. Clone the repo:
   git clone https://github.com/krisp619/ShadowFox-Python.git

2. Navigate to the folder:
   cd ShadowFox-Python

3. (Optional) Create virtual environment:
   python -m venv venv && venv\Scripts\activate

4. Install dependencies (for advanced task):
   pip install -r Task3_Advanced/requirements.txt

5. Run .py files using:
   python filename.py

6. Open .ipynb in Jupyter for analysis.

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🧾 Sample Output Files

• cricket_fielding_analysis.csv – CSV export of player-wise fielding metrics
• cricket_fielding_analysis.png – Chart showing fielding performance breakdown

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🧠 Insights & Learning

This internship pushed me to:

• Think deeper about code structure and logic
• Explore Python libraries beyond basics
• Apply data science concepts in cricket analytics
• Build and present projects like a professional

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👨‍💻 About Me

I’m Krishna Potdar (@krisp619) – a Python developer who believes in learning by building.
This internship was more than tasks — it was a complete hands-on experience that sharpened my coding, analysis, and Git skills.

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Note: All data is simulated for academic use.