AdaReader 0.0.1

A versatile library for reading datasets from multiple formats and generating synthetic datasets.

Flexi DataReader

Flexi DataReader is a powerful and versatile Python library for working with datasets in multiple formats. It simplifies the process of reading files, generating synthetic datasets, and loading predefined datasets from scikit-learn.

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🌟 Features

• Automatically detects and processes files in various formats:
  • CSV
  • JSON
  • Excel (.xlsx)
  • MATLAB (.mat)
  • Parquet
• Generates synthetic datasets for machine learning using scikit-learn:
  • Classification
  • Regression
  • Clustering
• Loads predefined datasets from scikit-learn:
  • Iris, Digits, California Housing, and more.
• Robust error handling for missing files, invalid data, and unsupported formats.

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🚀 Installation

Install the library directly from PyPI:

pip install flexi-datareader

To install the latest development version from GitHub

pip install git+https://github.com/YousofLHC/flexi-datareader.git