datasurfer 1.1

A Python package for data processing

# Datasurfer is a solution designed to effortlessly read various file formats and seamlessly convert them into structured dataframes. This tool is engineered to streamline the data processing workflow, providing unparalleled flexibility and efficiency. Key Features:

Universal File Compatibility: Datastructure supports a wide array of file formats, including CSV, Excel, Matlab and more. No matter the source of your data, this software ensures compatibility for a hassle-free integration.

Intelligent File Parsing: The software employs intelligent parsing algorithms to interpret and extract data from diverse file structures. Whether the data is tabular, nested, or semi-structured, DataFlex Pro adapts to the nuances of each format with precision.

Dataframe Transformation: DataFlex Pro converts the parsed data into versatile dataframes, providing a structured and organized representation. This enables users to easily manipulate, analyze, and visualize the data with popular data science libraries.

Customizable Output Options: Tailor the output of your data according to your needs. DataFlex Pro allows users to export dataframes to various destinations, including databases, cloud storage, and popular data analysis tools. This ensures seamless integration with your existing data ecosystem.

Data Cleaning: The software includes robust data cleaning features to identify and rectify inconsistencies, missing values, and anomalies during the conversion process. This ensures that the resulting dataframes are accurate and reliable for downstream analysis.

Batch Processing: Streamline your data conversion tasks by utilizing DataFlex Pro’s batch processing capabilities. Process multiple files concurrently, saving time and resources.

History

0.1.0 (2023-12-12)

• First release on PyPI.

1.0.9 (2024-04-04)

• Release data lake and data pool