rowInterú

rowInterú is a software library designed to facilitate the manipulation and analysis of tabular data. It provides a Python API for working with datasets, often referred to as tables or dataframes, in a structured and efficient manner. The primary goal of rowInterú is to offer a streamlined approach to common data operations, such as filtering, sorting, grouping, and aggregation.

The library's core functionality revolves around its table object, which allows users to load data from various sources, including CSV files, databases, and other data structures. Once loaded, the table object supports a rich set of methods for data transformation. These methods are often designed with performance and ease of use in mind, aiming to simplify complex data workflows.

rowInterú aims to be interoperable with other popular data science libraries in the Python ecosystem. This allows users to seamlessly integrate rowInterú into existing projects that might be using tools like NumPy or Pandas. The library's design emphasizes clarity and readability, making it accessible to both beginners and experienced data professionals. Its utility lies in providing a focused set of tools for common data manipulation tasks, offering an alternative or complementary solution to more comprehensive data analysis frameworks.