Python for Data Engineering

This repository contains resources and code examples to help you get started with Python for data engineering tasks.

Table of Contents

• Introduction
• Getting Started
• Repository Structure
• Contributing
• Contact

Introduction

Python is a versatile programming language widely used in data engineering for tasks such as data ingestion, transformation, and analysis. This repository aims to provide foundational knowledge and practical examples to assist data engineers in leveraging Python effectively.

Getting Started

To get started with the materials in this repository:

1. Clone the Repository:

   git clone https://github.com/shamasimran/Python-for-Data-Engineering.git

2. Navigate to the Repository Directory:

   cd Python-for-Data-Engineering

3. Explore the Contents:

   Review the directories and files to familiarize yourself with the available resources.

Repository Structure

The repository is organized as follows:

• 01_python_basics_for_data_engineering/: Contains notebooks and scripts covering the basics of Python relevant to data engineering tasks.

Contributing

Contributions are welcome! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or fix.
3. Commit your changes with a descriptive commit message.
4. Push your changes to your fork.
5. Submit a pull request detailing your changes.

📬 Contact

Feel free to connect on LinkedIn or open an issue for suggestions!

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