Library with a collection of useful classes and methods to DRY
Project description
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: mango@baobabsoluciones.es
Create an issue on the repository
—
Made with ❤️ by baobab soluciones
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