https://github.com/qcversity/polars-learning-path
Polars-Learning-Path is a comprehensive collection of resources, tutorials, and examples to master the blazingly fast data manipulation library "polars".
https://github.com/qcversity/polars-learning-path
data-manipulation data-science learning-path polars polars-dataframe python
Last synced: 3 months ago
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Polars-Learning-Path is a comprehensive collection of resources, tutorials, and examples to master the blazingly fast data manipulation library "polars".
- Host: GitHub
- URL: https://github.com/qcversity/polars-learning-path
- Owner: qcversity
- Created: 2023-10-26T08:00:20.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-06T06:17:58.000Z (over 1 year ago)
- Last Synced: 2025-01-16T03:35:40.631Z (4 months ago)
- Topics: data-manipulation, data-science, learning-path, polars, polars-dataframe, python
- Language: Jupyter Notebook
- Homepage:
- Size: 13.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Polars-Learning-Path
Welcome to the Polars-Learning-Path repository! This repository is dedicated to providing resources, tutorials, and examples for learning and working with Polars, a fast DataFrame library in Rust and Python. Our goal is to help users of all levels gain proficiency in using Polars for data manipulation and analysis.
## About Polars
Polars is a DataFrame library written in Rust, offering high performance and efficient data processing capabilities. It is also available in Python, providing an easy-to-use interface while leveraging Rust's speed.
For more information on contributing to this repository, please see the [Contributing](#contributing) section.
## Repository Structure
- `Tutorials/`: Contains step-by-step guides that cover various aspects of Polars, providing a comprehensive learning experience.
- `Examples/`: Offers practical examples that demonstrate the use of Polars in a variety of scenarios, showcasing its capabilities.
- `Practice/`: Includes exercises designed to help practice and reinforce Polars skills, catering to different levels of proficiency.
- `Projects/`: Features hands-on projects with real-world data, aimed at mastering Polars through applied learning.
- `Datasets/`: Provides sample datasets used within tutorials, examples, and projects, aiding in practical exercises and demonstrations.
- `Scripts/`: Contains utility scripts for data processing and analysis, complementing the learning material in other directories.
# Maintainer
This repository is currently maintained by **Dr.Saad Laouadi**. If you have any questions, feedback, or suggestions, feel free to reach out or open an issue.
- **Name:** **Dr Saad Laouadi**
- **GitHub:** [](https://github.com/qcversity)
- **LinkedIn:** [](https://www.linkedin.com/in/saad-laouadi/)
- **Email:** [](mailto:[email protected])
# Table of Contents
- [Introduction](#polars-learning-path)
- [Tutorials](#tutorials)
- [Course Setup](#course-setup)
- [Environment Setup with venv](Tutorials/00.%20Course%20Setup/01_Environment%20Setup%20with%20venv.md)
- [Environment Setup with conda](Tutorials/00.%20Course%20Setup/02_Environment%20Setup%20with%20conda.md)
- [Environment Setup with mamba](Tutorials/00.%20Course%20Setup/03_Environment%20Setup%20with%20mamba.md)
- [Polars Vs Pandas](#polars-vs-pandas)
- [Pandas Vs Polars: Pandas](Tutorials/01.%20Polars%20Vs%20Pandas/Pandas%20Vs%20Polars%20Pandas.ipynb)
- [Polars Vs Pandas: Polars](Tutorials/01.%20Polars%20Vs%20Pandas/Polars%20Vs%20Pandas%20Polars.ipynb)
- [Reading Data](#reading-data)
- [Reading Plain Text Data](Tutorials/02.%20Reading%20Data/01.%20Reading%20Plain%20Text%20Data.ipynb)
- [Examples](#examples)
- [Projects](#projects)
- [Scripts](#scripts)
- [Datasets](#datasets)
- [Presentation for Polars](#presentation-for-polars)
- [Download Data Notebook](downlaod_data.ipynb)
- [Download Datasets Script](download_datasets.py)
## Getting Started
To get started with this repository, clone it to your local machine using:
```bash
git clone https://github.com/your-username/Polars-Learning-Path.git
```
## Prerequisites
Ensure you have Python installed on your system. You can download Python from python.org. Additionally, you'll need to install Polars. You can install it via pip:
```
pip install polars
```
## Running the Examples
To run the examples, navigate to the examples/ directory and execute the Python scripts:
```bash
cd Polars-Learning-Path/examples/
python example_script.py
```
## Contributing
We welcome contributions to the Polars-Learning-Path repository! Whether it's adding new examples, improving tutorials, or fixing bugs, your contributions are greatly appreciated.
### To contribute:
1. Fork the repository.
2. Create a new branch for your feature (`git checkout -b feature/NewFeature`).
3. Commit your changes (`git commit -m 'Add some NewFeature'`).
4. Push to the branch (`git push origin feature/NewFeature`).
5. Open a pull request.
## Acknowledgements
- [Polars GitHub Repository](https://github.com/pola-rs/polars)
- [Polars official documentation](https://pola-rs.github.io/polars/py-polars/html/index.html)
### License
-----
This work is licensed under [Attribution-NonCommercial-ShareAlike 4.0 International](http://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1)