Welcome to the Python Crash Course! This repository is designed to provide you with a comprehensive introduction to the Python programming language, with a focus on data manipulation and analysis using the pandas library. The course is divided into several modules, each focusing on different aspects of pandas and Python.

1. Introduction to pandas
2. DataFrame Creation
3. Indexing and Slicing
4. Data Handling
5. Data Cleaning
6. Data Transformation
7. Date and Time Handling
8. String Methods
9. Statistical Functions
10. Plotting
11. Grouping and Aggregation
12. Window Functions
13. Data Merging
14. Data Validation
15. Categorical Data
16. Utilities
17. Other Functions
18. Hackathon Projects

• Python 3.6 or higher
• pandas library

1. Clone the repository:

   git clone https://github.com/anas-aqeel/panadas-crash-course.git

2. Navigate to the project directory:

   cd pandas-crash-course

3. (Optional) Create a virtual environment:

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`

Each module in this repository contains a set of Jupyter notebooks that demonstrate various concepts and functionalities of pandas. To get started, open any notebook in a Jupyter environment and follow along with the provided examples.

1. Launch Jupyter Notebook:

   jupyter notebook

2. Open the notebook of your choice from the list of modules.

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request. Please ensure that your contributions align with the overall objectives of this course.

This project is licensed under the MIT License - see the LICENSE file for details.

• pandas documentation
• Python documentation

We hope you find this course helpful and informative. Happy coding!