semvec/pypi-packages huggingface dataset:
datalyzer 0.1
Biblioteka do analizy danych.

# Datalyzer

Datalyzer to biblioteka do analizy danych w Pythonie. UmoĹĽliwia Ĺ‚atwe uzyskanie statystyk opisowych i wykrywanie brakujÄ…cych wartoĹ›ci.

## Instalacja

Aby zainstalowaÄ‡ bibliotekÄ™, uĹĽyj:

```bash
pip install datalyzer

UĹĽycie
Oto przykĹ‚ad uĹĽycia:

import pandas as pd
from datalyzer.analyzer import DataAnalyzer

data = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
analyzer = DataAnalyzer(data)

# Uzyskaj statystyki opisowe
summary = analyzer.summary()
print(summary)

# SprawdĹş brakujÄ…ce wartoĹ›ci
missing = analyzer.missing_values()
print(missing)

Plik setup.py
Upewnij siÄ™, ĹĽe plik setup.py jest poprawny i zawiera poniĹĽszy kod. MoĹĽesz zmieniÄ‡ author, author_email i url zgodnie z wĹ‚asnymi danymi:

from setuptools import setup, find_packages

setup(
    name='datalyzer',
    version='0.1',
    packages=find_packages(),
    install_requires=[
        'pandas',  # Wymagana biblioteka
    ],
    author='Twoje ImiÄ™',
    author_email='twoj.email@example.com',
    description='Biblioteka do analizy danych.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    url='https://github.com/TwojeImie/datalyzer',  # Link do repozytorium
    classifiers=[
        'Programming Language :: Python :: 3',
        'License :: OSI Approved :: MIT License',
    ],
)


Datalyzer (English Version)

Datalyzer is a library for data analysis in Python.
 It allows you to easily obtain descriptive statistics and detect missing values.

Installation
To install the library, use:

pip install datalyzer

Usage
Here is an example of usage:
import pandas as pd
from datalyzer.analyzer import DataAnalyzer

data = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
analyzer = DataAnalyzer(data)

# Get descriptive statistics
summary = analyzer.summary()
print(summary)

# Check for missing values
missing = analyzer.missing_values()
print(missing)

setup.py File
Make sure the setup.py file is correct and contains the following code.
 You can change author, author_email, and url according to your own data:

from setuptools import setup, find_packages

setup(
    name='datalyzer',
    version='0.1',
    packages=find_packages(),
    install_requires=[
        'pandas',  # Required library
    ],
    author='Your Name',
    author_email='your.email@example.com',
    description='Library for data analysis.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    url='https://github.com/YourName/datalyzer',  # Link to repository
    classifiers=[
        'Programming Language :: Python :: 3',
        'License :: OSI Approved :: MIT License',
    ],
)
ganitha 0.1.0
A package for mathematical calculations using Indian Knowledge System including Lilavati's methods
Requires Python: >=3.7

# Ganitha

Ganitha is a Python package for mathematical calculations, including implementations of Lilavati's methods.

## Installation

You can install the Ganitha package using pip:
pip install ganitha

## Usage

Here's a quick example of how to use the Lilavati square function:
python
from ganitha.lilavati.squares import optimized_lilavati_square
result = optimized_lilavati_square(123)
print(f"The square of 123 is: {result}")