Metadata-Version: 2.4
Name: de-quickutils-vikas
Version: 0.1.0
Summary: Tiny helpers for everyday data-engineering tasks: clean column names, drop empty rows, chunk lists.
Author-email: Vikas Verma <vermavikas1490@gmail.com>
License-Expression: MIT
Keywords: data engineering,etl,utilities
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# de-quickutils-vikas

Tiny, dependency-free helpers for everyday data-engineering tasks.

## Install

```bash
pip install de-quickutils-vikas
```

## Usage

```python
from de_quickutils import clean_columns, drop_empty_rows, chunk

rows = [
    {"Customer ID": 1, "Order Date!": "2026-01-01"},
    {"Customer ID": None, "Order Date!": "  "},
]

rows = drop_empty_rows(clean_columns(rows))
print(rows)  # [{'customer_id': 1, 'order_date': '2026-01-01'}]

for batch in chunk(range(10), 4):
    print(batch)  # [0,1,2,3] [4,5,6,7] [8,9]
```

Command line:

```bash
quickutils "Customer ID" "Order Date!"
```
