mango 1.0.3a2

Library with a collection of useful classes and methods to DRY

Mango

A comprehensive Python library providing essential tools for data processing, analysis, and machine learning workflows.

Overview

Mango is the core library that provides fundamental functionality for data manipulation, processing, and analysis. It serves as the foundation for the broader mango ecosystem of specialized libraries, offering a robust and flexible platform for data science and machine learning applications.

Main Features

Data Processing - File handling for multiple formats (CSV, Excel, JSON) - Data imputation and cleaning utilities - Date and time manipulation functions - Object processing and validation tools

Data Management - Table operations with pytups integration - Efficient data structures and tools - Data validation and quality checks - Flexible data transformation capabilities

External Integrations - AEMET weather data client - ArcGIS geospatial services - REST API client utilities - Cloud storage integration (Google Cloud)

Machine Learning - Neural network implementations - Model evaluation and benchmarking - Optimization algorithms and benchmarks

Utilities - Comprehensive logging system - Configuration management - Exception handling and validation - Spatial and mathematical utilities

Quick Start

import mango
from mango.processing import DataProcessor
from mango.clients import AEMETClient
from mango.table import Table

# Initialize data processor
processor = DataProcessor()

# Load and process data
data = processor.load_csv('data.csv')
cleaned_data = processor.clean_data(data)

# Use external services
weather_client = AEMETClient()
weather_data = weather_client.get_weather_data()

Installation

Using uv:

uv add mango

Using pip:

pip install mango

Dependencies

Core dependencies include numpy and other essentials. Optional dependencies are available for specific functionality:

• data: Pandas/Polars, scikit-learn, Pyomo and related tooling for data processing and ML features

• dev: Development and testing tools (combine with data to run the full test suite)

Documentation

Full documentation is available at: https://baobabsoluciones.github.io/mango/

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For questions, issues, or contributions, please contact:

• Email: [e-mail]

• Create an issue on the repository

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