https://github.com/gvatsal60/pysparktutorial
Comprehensive guide to mastering `PySpark` through hands-on tutorials and examples.
https://github.com/gvatsal60/pysparktutorial
pyspark pyspark-notebook pyspark-tutorial
Last synced: 3 months ago
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Comprehensive guide to mastering `PySpark` through hands-on tutorials and examples.
- Host: GitHub
- URL: https://github.com/gvatsal60/pysparktutorial
- Owner: gvatsal60
- License: apache-2.0
- Created: 2025-03-21T13:32:19.000Z (3 months ago)
- Default Branch: master
- Last Pushed: 2025-03-21T14:07:21.000Z (3 months ago)
- Last Synced: 2025-03-21T15:25:41.625Z (3 months ago)
- Topics: pyspark, pyspark-notebook, pyspark-tutorial
- Language: Shell
- Homepage:
- Size: 17.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yaml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: CODEOWNERS
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README
# PySparkTutorial
[](https://img.shields.io/github/license/gvatsal60/PySparkTutorial)
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[](https://www.codefactor.io/repository/github/gvatsal60/PySparkTutorial)
Welcome to the **PySparkTutorial** repository!
This repository is a comprehensive guide to mastering PySpark through hands-on tutorials and examples.
Whether you're a beginner or looking to deepen your understanding of PySpark, this resource has something for everyone.
## Prerequisites
Make sure you have the following installed:
- [Visual Studio Code](https://code.visualstudio.com/)
- [Docker](https://www.docker.com/)
- [Remote - Containers extension for VS Code](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
## Getting Started
### 1. **Clone the Snippets Repository**
First, clone the repository containing the code to your local machine:
```sh
git clone https://github.com/gvatsal60/PySparkTutorial.git
```
### 2. **Open the Directory in VSCode:**
- Open the current directory in VS Code.
- Press `F1` (or `Ctrl+Shift+P` on Windows/Linux, `Cmd+Shift+P` on macOS).
- Search for and select **"Dev Containers: Reopen in Container"**.
### 3. **Wait for the Setup:**
- VS Code will build the dev container image (if required) and start the container.
- Once completed, you’ll be inside the dev container environment.
### 4. **Start Working:**
- Now you can develop in the isolated and pre-configured **PySpark** container environment.
## About
`PySpark` is the Python API for Apache Spark, a fast and general-purpose cluster computing system for big data processing.
This repository is designed to help you understand and
apply PySpark effectively for data analysis, machine learning, and more.
## Features
- Step-by-step tutorials covering basic to advanced topics in PySpark.
- Practical examples and use cases to solidify your knowledge.
- Clean and well-commented code for easy understanding.
- Resources to help you set up and optimize your PySpark environment.
## Contents
- `Getting_Started`: Learn how to set up PySpark and understand the basics.
- `DataFrame_Operations`: Tutorials on working with PySpark DataFrames.
- `RDD_Basics`: An introduction to Resilient Distributed Datasets (RDDs).
- `Machine_Learning`: Explore PySpark's MLlib for building machine learning models.
- `Streaming`: Real-time data processing with PySpark Streaming.
- `Optimization_Techniques`: Tips and tricks to optimize PySpark performance.
## Acknowledgments
Special thanks to the open-source community and Apache Spark contributors for making big data processing accessible and efficient.
## Contributing
Contributions are welcome! Please read our
[Contribution Guidelines](https://github.com/gvatsal60/PySparkTutorial/blob/HEAD/CONTRIBUTING.md)
before submitting pull requests.
## License
This project is licensed under the Apache License 2.0 License -
see the [LICENSE](https://github.com/gvatsal60/PySparkTutorial/blob/HEAD/LICENSE)
file for details.