| Name | datashear JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A Python package that allows you to split CSV files |
| upload_time | 2025-10-26 06:50:54 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
data
manipulation
split
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# DataShear
[](https://codecov.io/github/HakumenNC/datashear)
A Python package that allows you to split CSV files
## Installation
Coming soon! The package is currently in development.
## Usage
Coming soon! The package is currently in development.
## Development
### Setup
1. Clone the repository:
```bash
git clone https://github.com/HakumenNC/datashear.git
cd datashear
```
2. Install in development mode:
```bash
pip install -e ".[dev]"
```
## Testing
> Writing tests means you don’t trust your code.
Running test with [`pytest`](https://docs.pytest.org/en/stable)
```bash
pytest
```
```bash
pytest --cov=src --cov-report=xml
```
### Go further
#### pytest
> The pytest framework makes it easy to write small, readable tests, and can scale to support complex functional testing for applications and libraries.
https://docs.pytest.org/en/stable
- [Method and function level setup/teardown](https://docs.pytest.org/en/stable/how-to/xunit_setup.html#method-and-function-level-setup-teardown)
- [Asserting with the assert statement](https://docs.pytest.org/en/stable/how-to/assert.html)
- [Assertions about expected exceptions](https://docs.pytest.org/en/stable/how-to/assert.html#assertions-about-expected-exceptions)
#### Codecov
> Codecov doesn’t just measure code coverage—it helps you improve code quality at every step.
https://about.codecov.io
- https://github.com/codecov/codecov-action
## Building
Build the package:
```bash
python -m build
```
## License
MIT License - see LICENSE file for details.
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