semvec/pypi-packages huggingface dataset:
weight-converter 0.0.3
Module for converting weight units.
License: MIT

# Weight Converter
[![PyPI version](https://badge.fury.io/py/weight-converter.svg)](https://badge.fury.io/py/weight-converter)
[![codecov](https://codecov.io/gh/adamriaz/weight-converter/branch/main/graph/badge.svg?token=hcHbzXWhUJ)](https://codecov.io/gh/adamriaz/weight-converter)
[![Documentation Status](https://readthedocs.org/projects/weight-converter/badge/?version=latest)](https://weight-converter.readthedocs.io/en/latest/?badge=latest)

A python module for converting weight units.

## Install
To install Weight Converter, run the following command:
```bash
pip install weight-converter
```

## Usage
Import the module and unit class
```python
from weight_converter.convert import Kilograms

kilograms = Kilograms(value=1)
lbs = kilograms.to_pounds()
```

Documentation: https://weight-converter.readthedocs.io/en/latest/
dataanalyzing 0.0.4
User-friendly Data Science Package for data analysis
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataAnalyzing with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/dataanalyzing?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/dataanalyzing?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/dataanalyzing?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dataanalyzing?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/dataanalyzing?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/dataanalyzing?style=for-the-badge)
![Bootcamp Project: DataAnalyzing with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user dataanalyzing
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://dataanalyzing-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/dataanalyzing-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/dataanalyzing-python](https://gitlab.com/the-bootcamp-project/packages/data-science/dataanalyzing-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataAnalyzing with Python**:
dataclassification 0.0.4
User-friendly Data Science Package for the classification of data
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataClassification with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/dataclassification?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/dataclassification?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/dataclassification?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dataclassification?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/dataclassification?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/dataclassification?style=for-the-badge)
![Bootcamp Project: DataClassification with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user dataclassification
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://dataclassification-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/dataclassification-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/dataclassification-python](https://gitlab.com/the-bootcamp-project/packages/data-science/dataclassification-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataClassification with Python**:
datacleaning 0.0.4
User-friendly Data Science Package for cleaning data
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataCleaning with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/datacleaning?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/datacleaning?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/datacleaning?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datacleaning?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/datacleaning?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/datacleaning?style=for-the-badge)
![Bootcamp Project: DataCleaning with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user datacleaning
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://datacleaning-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/datacleaning-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/datacleaning-python](https://gitlab.com/the-bootcamp-project/packages/data-science/datacleaning-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataCleaning with Python**:
dataprocessing 0.0.4
User-friendly Data Science Package for processing data
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="center" height="150" /></a>

<h1 align="center">How to DataProcessing with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/dataprocessing?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/dataprocessing?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/dataprocessing?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dataprocessing?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/dataprocessing?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/dataprocessing?style=for-the-badge)
![Bootcamp Project: DataProcessing with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user dataprocessing
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://dataprocessing-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/dataprocessing-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Please read the [contribution guidelines](contributing.md) first.
2. Fork the Project
3. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
4. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
5. Push to the Branch (`git push origin feature/AmazingFeature`)
6. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` **@** `bootcamp-project` **.com**

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/dataprocessing-python](https://gitlab.com/the-bootcamp-project/packages/data-science/dataprocessing-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataProcessing with Python**:
datareading 0.0.4
User-friendly Data Science Package for reading data
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataReading with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/datareading?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/datareading?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/datareading?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datareading?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/datareading?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/datareading?style=for-the-badge)
![Bootcamp Project: DataReading with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user datareading
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://datareading-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/datareading-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/datareading-python](https://gitlab.com/the-bootcamp-project/packages/data-science/datareading-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataReading with Python**:
datascraping 0.0.4
User-friendly Data Science Package for data analysis
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataScraping with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/datascraping?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/datascraping?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/datascraping?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datascraping?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/datascraping?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/datascraping?style=for-the-badge)
![Bootcamp Project: DataScraping with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user datascraping
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://datascraping-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/datascraping-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/datascraping-python](https://gitlab.com/the-bootcamp-project/packages/data-science/datascraping-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataScraping with Python**:
datasourcing 0.0.4
User-friendly Data Science Package for data sourcing
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataSourcing with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/datasourcing?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/datasourcing?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/datasourcing?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datasourcing?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/datasourcing?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/datasourcing?style=for-the-badge)
![Bootcamp Project: DataSourcing with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user datasourcing
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://datasourcing-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/datasourcing-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/datasourcing-python](https://gitlab.com/the-bootcamp-project/packages/data-science/datasourcing-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataSourcing with Python**:
datastoring 0.0.4
User-friendly Data Science Package for data storing
License: MIT
Requires Python: >=3.5
Keywords: Analysis Diagram Analytical Information System Tableau Software Data Analysis Business Intelligence Statistics Graph Structure Dimension

<a href="https://bootcamp-project.com/" target="_blank"><img src="https://bootcamp-project.com/images/logo.png" align="right" height="200" /></a>

<h1 align="center">How to DataStoring with Python (Step-by-Step)</h1>

<div align="center">
![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/datastoring?style=for-the-badge)
![PyPI - Status](https://img.shields.io/pypi/status/datastoring?style=for-the-badge)
![PyPI - Implementation](https://img.shields.io/pypi/implementation/datastoring?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datastoring?style=for-the-badge)
![PyPI - Wheel](https://img.shields.io/pypi/wheel/datastoring?style=for-the-badge)
![PyPI - License](https://img.shields.io/pypi/l/datastoring?style=for-the-badge)
![Bootcamp Project: DataStoring with Python](https://img.shields.io/badge/Bootcamp-Project-blue?style=for-the-badge)
</div>

## 👉 About 👈

### 😎 Built With 😎

## 📖 Getting Started 📖

### ✋ Prerequisites ✋

### 💪 Installation 💪

```bash
python3 -m pip install --user datastoring
```

## 🚀 Usage 🚀

_For more examples, please refer to the [Documentation](https://datastoring-python.rtfm.page)_

## ⭐️ Features ⭐️

## 📑 Changelog 📑

## 📋 Roadmap 📋

See the [open issues](https://gitlab.com/the-bootcamp-project/packages/data-science/datastoring-python/-/issues) for a list of proposed features (and known issues).

## 🤝 Contribute 🤝

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

Please read the [contribution guidelines](contributing.md) first.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## 📜 License 📜

Distributed under the MIT License. See [LICENSE](LICENSE) for more information.

## 💌 Contact 💌

[Bootcamp contributors](https://bootcamp-project.com/) - `contributors` @ `bootcamp-project` .com

Project Link: [https://gitlab.com/the-bootcamp-project/packages/data-science/datastoring-python](https://gitlab.com/the-bootcamp-project/packages/data-science/datastoring-python)

## 🏆 Acknowledgements 🏆

Thanks for these awesome resources that were used during the development of the **Bootcamp Project: DataStoring with Python**: