# Dataramp
[](https://github.com/psf/black)
[](https://github.com/PyCQA/pylint)
[](https://flake8.pycqa.org/en/latest/)
[](https://scikit-learn.org/stable/)
Welcome to the Dataramp documentation! Here you will find information about Dataramp, including some examples to get you started.
## Dataramp
Dataramp is a Python library designed to streamline data science and data analysis workflows. It offers a collection of utility functions and tools tailored to assist data science teams in various aspects of their projects.
By providing a range of functionalities, Dataramp aims to enhance productivity and efficiency in data science projects, empowering teams to focus on deriving meaningful insights from their data.
## Getting Started
Read the quick start guide [here](docs/quickstart.md).
If you want to see some examples, you can look at the examples in the [examples](examples/) directory.
You can install Dataramp and learn more from [PyPi](https://pypi.org/project/dataramp/).
# Example
```python
# Create and register a model pipeline
preprocessor = Pipeline([
('scaler', StandardScaler()),
('imputer', SimpleImputer())
])
pipeline = Pipeline([
('preprocess', preprocessor),
('classifier', LogisticRegression())
])
model_save(pipeline, "classifier", method="joblib", metadata={"dataset": "2023_sales"})
register_model(
pipeline,
name="sales_classifier",
version="v1.0",
metadata={
"metrics": {"accuracy": 0.89},
"serialization_method": "joblib"
}
)
# Create versioned dataset
df = pd.read_csv("data.csv")
data_save(df, "processed_data", versioning=True, description="Initial cleaned version")
```
# Potential Use Cases
- Data Science Projects : Initialize projects with a standardized structure and manage datasets and models effectively.
- Team Collaboration : Facilitate collaboration by providing clear project organization and versioning.
- Reproducibility : Ensure reproducibility by tracking dataset versions, model metadata, and dependencies.
- Automation : Integrate into CI/CD pipelines for automated testing, deployment, and dependency updates.
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