🌟 Python Mega Course Projects

Welcome to my Python Mega Course repository! 🎉 Here, you’ll find a collection of projects that I’ve developed while mastering Python through hands-on experience. This repository showcases my growth as a developer and highlights my ability to build real-world applications.

📚 About the Course

The Python Mega Course is a comprehensive program designed to take learners from Python beginners to expert developers. The course emphasizes practical skills with projects ranging from web applications to data analysis.

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🚀 Projects Overview

Below are some of the key projects I’ve completed during the course, showcasing a variety of skills and technologies:

1. Portfolio Website

Technologies: Flask, HTML/CSS, Bootstrap

• A personal portfolio website built with Python and Flask.
• Features a dynamic project gallery and responsive design.
• Key Features: Contact form, user-friendly navigation, and deployable on Heroku.

2. Data Analysis Dashboard

Technologies: Pandas, Matplotlib, Streamlit

• Interactive data visualization dashboard showcasing insights from real-world datasets.
• Key Features: CSV data upload, dynamic chart rendering, and trend analysis.

3. Web Scraper

Technologies: BeautifulSoup, Requests

• Automated script to scrape job listings from top tech websites.
• Key Features: Keyword-based search, data export to CSV, and scheduling with cron jobs.

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🛠️ Skills & Tools Demonstrated

• Python Fundamentals: Object-oriented programming, file handling, and debugging.
• Web Development: Flask, Jinja2, and responsive design principles.
• Data Analysis: Numpy, Pandas, and data visualization libraries.
• Automation: Web scraping and task scheduling.
• Version Control: Proficient in Git/GitHub for collaboration and code management.

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📈 Key Achievements

• Problem-Solving: Tackled real-world challenges and implemented efficient solutions.
• Adaptability: Mastered new frameworks and libraries through independent research and practice.
• Collaboration: Leveraged Git to manage projects and simulate teamwork scenarios.

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🖥️ How to Run the Projects

To explore any project in this repository:

1. Clone the repository:

   git clone https://github.com/mmilton1/python-mega-course-projects.git

2. Navigate to the project folder:

cd project-folder-name

3. Install the required dependencies:
```bash
cd project-folder-name