datipl

Datipl is a software library designed for data manipulation and analysis. It provides a structured and efficient way to work with tabular data, similar to how spreadsheets or databases handle information. The primary goal of datipl is to simplify common data processing tasks, making it easier for developers and data scientists to clean, transform, and explore datasets.

The library offers a range of functionalities, including reading data from various file formats such as CSV and JSON, selecting and filtering rows and columns, and performing aggregations and joins. Datipl emphasizes immutability, meaning that operations typically create new data structures rather than modifying existing ones in place. This approach can help prevent unintended side effects and make code more predictable.

Datipl is often used in scenarios where data needs to be prepared before being fed into machine learning models or for generating reports. Its API is designed to be intuitive, aiming to reduce the learning curve for users familiar with data manipulation concepts. While it is a standalone library, it can be integrated into larger data pipelines and workflows. The focus on performance and ease of use makes it a valuable tool for anyone working with structured data.