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Embarking on an exciting journey to master Responsive Web Design and JavaScript Algorithms through FreeCodeCamp's comprehensive courses! This README will guide you through the key concepts I'll be learning and how it contributes to my growth as a developer.

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🌟 My FreeCodeCamp Learning Journey 🌟

📖 Description:

Embarking on an exciting journey to master both Responsive Web Design and Scientific Computing with Python through FreeCodeCamp's comprehensive courses! This README will guide you through the key concepts I'll be learning and how it contributes to my growth as a developer. Feel free to follow my progress on my FreeCodeCamp Profile 🚀.

🎯 What Will I Learn?

🖥️ Responsive Web Design Course

In this course, I will dive deep into creating visually stunning and functional websites that work seamlessly across all devices. Here are the key topics I'll conquer:

  • HTML Basics 📑
    Learn the structure of web pages using semantic HTML tags.

  • CSS Fundamentals 🎨
    Master styling techniques, including flexbox, grid, and media queries for responsive layouts.

  • Accessibility
    Build inclusive websites that cater to users with disabilities.

  • Applied Visual Design
    Enhance user experience with typography, color theory, and animations.

  • Responsive Web Principles 📱➡️💻
    Create fluid designs that adapt to different screen sizes (mobile-first approach).

  • Projects 🏗️
    Complete real-world projects like building a tribute page, survey form, product landing page, and more!

Tags: HTML, CSS, Flexbox, Grid, Responsive Design, Accessibility

🐍 Scientific Computing with Python

In this course, I will explore the power of Python for scientific computing, data analysis, and problem-solving. Here's what I'll be tackling:

  • Python Basics 🛠️
    Master fundamental Python concepts such as variables, data types, loops, functions, and control flow.

  • Data Structures 📚
    Explore lists, dictionaries, sets, tuples, and other essential structures in Python.

  • Object-Oriented Programming (OOP) 🧩
    Learn about classes, objects, inheritance, and encapsulation in Python.

  • Scientific Libraries 🔬
    Use libraries like NumPy, Pandas, and Matplotlib for numerical computations and data visualization.

  • Projects 🌟
    Apply Python to solve real-world problems through projects like Arithmetic Formatter, Time Calculator, Budget App, Polygon Area Calculator, and Probability Calculator.

Tags: Python, NumPy, Pandas, Matplotlib, OOP, Data Analysis

🤝 Connect with Me!

Feel free to check out my progress or connect with me on Dev. Let's grow together and make coding fun! 💻✨

📢 Stay Tuned!

I’ll keep updating this README as I complete each section and project. Your support means a lot—thank you for being part of my journey! 🙏🚀

📑 Table of Contents

  1. Description
  2. What Will I Learn?
  3. Connect with Me!
  4. Stay Tuned!

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Embarking on an exciting journey to master Responsive Web Design and JavaScript Algorithms through FreeCodeCamp's comprehensive courses! This README will guide you through the key concepts I'll be learning and how it contributes to my growth as a developer.

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