A collection of Python script snippets designed to handle a variety of data processing tasks. This toolkit includes utilities for:
- CSV file parsing, reconstruction, and transformation.
- Data analysis and validation.
- Output handling and integration with results from other tools.
Whether you're dealing with flat file formats, data cleanup, or custom processing tasks, this repository provides flexible and reusable snippets to make your workflow more efficient.
- CSV Handling: Parse, split, and reconstruct CSV files for various use cases.
- Data Validation: Scripts to ensure data integrity and detect anomalies.
- Data Analysis: Simplified tools for analyzing datasets and producing insights.
- Integration: Utilities for handling and reformatting output from other tools.
- Clone the repository:
git clone https://github.com/yourusername/python-toolkit.git
- Navigate to the project directory:
cd python-toolkit - Install any necessary dependencies (if applicable):
pip install -r requirements.txt
- CSV Spliter Tool
The **CSV Splitter Tool** is a versatile Python script designed to split large CSV files into smaller, manageable parts. It supports splitting by: - File size (e.g., 500 bytes, 50kB, 200MB, 1GB). - Row count (e.g., maximum rows per file). - Specific column values (e.g., grouping by file extensions). - A combination of these criteria. This tool is useful for handling large datasets, organizing data by categories, or preparing files for downstream processing.
For detailed information about updates and changes to the project, see the Changelog.
Contributions are welcome! If you have ideas for additional tools or improvements, feel free to:
- Fork the repository.
- Create a feature branch:
git checkout -b feature/your-feature-name
- Submit a pull request with your changes.
This project is licensed under the MIT License. You are free to use, modify, and distribute this software with proper attribution.