🚀 Python Bootcamp Repository

This repository contains code, notes, and examples from my journey learning Python and its essential data science libraries.

📚 What I've Learned

• Python: Core language syntax, data types, control structures, functions, OOP, and built-in modules.
• NumPy: Numerical computations, array operations, vectorization, and broadcasting.
• Pandas: DataFrames, series, data manipulation, filtering, grouping, and file I/O operations.
• Matplotlib: Data visualization, plotting line charts, bar graphs, histograms, and customization.

🧠 Objective

To build a solid foundation in Python for data analysis and scientific computing, enabling efficient data exploration and visualization.

📁 Repository Structure

• /python – Core Python scripts and exercises
• /numpy – NumPy examples and demos
• /pandas – Data analysis with Pandas
• /matplotlib – Visualization samples

🛠️ Tools Used

• Python 3.x
• Jupyter Notebook
• Visual Studio Code
• Google Colab

✅ Status

All core concepts have been covered and uploaded. More advanced topics may be added in future updates.

📌 How to Use

1. Clone this repository.
2. Navigate to the relevant folder.
3. Open the scripts or notebooks in your preferred environment.

📨 Contact

For any questions or collaboration, please open an issue or contact me through GitHub.

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Repository maintained by Ayush Trivedi