data-pipeline
A simple and reusable Python data pipeline package for loading, cleaning, and validating CSV data.
This package is designed for beginners and data analysts who want a clean, structured way to process data.
Features
- Load CSV files into pandas DataFrames
- Clean data by removing duplicates and missing values
- Validate data to ensure it is usable
- Simple one-function pipeline execution
- Lightweight and easy to integrate into any project
Installation
Install the package from PyPI using pip:
pip install data_pipeline_tool
1 maintainer
Metadata
1 maintainer
Release files for data-pipeline-tool 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| data_pipeline_tool-0.1.3.tar.gz | 4.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| data_pipeline_tool-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / data_pipeline_tool-0.1.3.tar.gz
| Download URL | data_pipeline_tool-0.1.3.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
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Release files / data_pipeline_tool-0.1.3-py3-none-any.whl
| Download URL | data_pipeline_tool-0.1.3-py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for data-pipeline-tool 0.1.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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