🐼 PandaTech

PandaTech is a structured, hands-on learning repository designed to master Python Pandas from beginner to intermediate levels. It focuses on practical data manipulation techniques essential for Data Science, Machine Learning, and Analytics.

📂 Repository Structure

The repository is organized into progressive learning modules, each containing Python scripts to demonstrate core concepts:

🔹 Core Modules

• 01 DataFrame: Introduction to creating and manipulating DataFrames from dictionaries and lists.
• 02 Attributes & Methods: Exploring DataFrame properties (shape, columns) and essential methods (info, describe).
• 03 Series Attributes: Deep dive into Pandas Series, indexing, and array-like operations.

🔹 Advanced Operations

• 04 Concatenation: Combining DataFrames vertically and horizontally (pd.concat).
• 05 Joins: Merging datasets using SQL-style joins (merge, join).
• 07 Combining Series: Techniques for combining and aligning multiple Series objects.
• 08 Categorical Data: Optimizing memory and performance with the category data type.

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🚀 Getting Started

To run the examples locally:

1. Clone the repository:

   git clone [https://github.com/pushtikadia/PandaTech.git](https://github.com/pushtikadia/PandaTech.git)

2. Navigate to the project directory:

   cd PandaTech

3. Run a demo script:

   python "01_Pandas DataFrame/Pandas_DataFrame_Demo-1.py"

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🛠️ Technologies Used

• Python 3
• Pandas Library
• NumPy (Indirectly used for numerical operations)

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PandaTech • Created by Pushti Kadia