media-calc 0.2.5

A comprehensive Python library for statistical calculations including mean, median, mode, variance, and standard deviation

media-calc

A comprehensive Python library for statistical calculations. Simple, efficient, and easy to use.

Description

This library provides a set of robust statistical functions for data analysis. Perfect for students, researchers, and data analysts who need quick and reliable statistical calculations.

Key Features

• Basic and advanced statistical analysis
• Clean and intuitive API
• Comprehensive documentation
• No external dependencies
• Efficient calculations
• Handles empty lists gracefully

Installation

pip install media-calc

Usage

from media import (
    media, 
    mediana, 
    moda, 
    varianza, 
    desviacion_estandar
)

# Sample data
numbers = [2, 4, 4, 4, 5, 5, 7, 9]

# Calculate basic statistics
print(f"Mean: {media(numbers)}")          # Output: 5.0
print(f"Median: {mediana(numbers)}")      # Output: 4.5
print(f"Mode: {moda(numbers)}")           # Output: 4
print(f"Variance: {varianza(numbers)}")   # Output: 4.0
print(f"Std Dev: {desviacion_estandar(numbers)}")  # Output: 2.0

Available Functions

Basic Statistics

• media(lista): Calculate arithmetic mean of a list of numbers
• mediana(lista): Find the middle value of a sorted list
• moda(lista): Find the most frequent value

Advanced Statistics

• varianza(lista): Calculate the variance of the data
• desviacion_estandar(lista): Calculate the standard deviation

Empty List Handling

All functions handle empty lists gracefully:

• media(): returns 0
• mediana(): returns 0
• moda(): returns None
• varianza(): returns 0
• desviacion_estandar(): returns 0

Version Information

You can check the current version of the library:

import media
print(media.__version__)  # Shows current version

2.0: more funcioanalities added

2.1: better documentation

License

This project is licensed under the MIT License.