semvec/pypi-packages huggingface dataset:
relazioni 0.0.2
A lightweight package for strength of the relationship between two variables analysis.
Requires Python: >=3.6

# Relazioni
Relazioni is a lightweight package for strength of the relationship between variables analysis.

Documentation: https://chicodelarosa.com/relazioni \
Source code: https://github.com/chicodelarosa/relazioni \
Bug reports: https://github.com/chicodelarosa/relazioni/issues

It provides easy to use functions for measuring the relationship between variables of the following natures:

### Two Continuous
A variable that can reasonably take on any value within a range. Examples of continuous variables include height, weight, exam scores, income, salary, etc.

### Two Categorical
A variable that is a category without a natural order. Examples of categorical variables are eye color, city of residence, type of dog, etc.

### At least One Ordinal
A variable with categories that have an inherent order. For instance, education level (GDE/Bachelors/Masters/PhD), income level (if grouped into high/medium/low) etc.

### One Binary and One Continuous
A variable that is a category with only two possible values. Examples of binary variables include gender (male/female) or any True/False or Yes/No variable.

Relazioni currently supports 8 different association functions for investigating the relationship between variables in the following cases:

1. Two Continuous and Covariates
   * Partial Correlation (R)
2. Two Continuous and No Covariates
   * Pearson Correlation
3. Two Categorical and Two Values per Variable
   * Phi Coefficient
4. Two Categorical and More than Two Values per Variable
   * Cramer’s V
   * Theil's U
5. At Least One Ordinal
   * Kendall’s Tau
   * Spearman’s Rho
6. One Continuous and One Binary
   * Point-biserial Correlation

## Requirements
    scipy
    numpy
    pandas
    scikit-learn

## Installation
### Installing via pypi
    pip install relazioni

### Installing via pip
    pip install .

### Installing via setup.py
    python setup.py install

### Installing via Git
    python -m pip install git+https://github.com/chicodelarosa/relazioni.git

## Example
    import numpy as np
    from relazioni import associations
    
    v1, v2 = np.array([1, 1, 2]), np.array([1, 1, 2])

    matth_corr = associations.matthews_corr(v1, v2)
    print(matth_corr) # 1.0

    v1, v2 = np.array([1, 1, 2]), np.array([2, 1, 2])

    matth_corr = associations.matthews_corr(v1, v2)
    print(matth_corr) # 0.5

## Call for Contributions
The relazioni package welcomes your expertise and enthusiasm!
StarZed 1.0
Animations for Telegram
Requires Python: >=3.6

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This is a custom bot with animation for Telegram. 
It was written using the pyrogram module.
After launching the file, you need to enter your telegram account details.
1) Phone number.
2) Entering the letter Y to confirm the number.
3) The code that came to telegram.
4) Password for two-step authorization, if you set it.
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Possible errors:
- Invalid code
- Wrong phone number
- A library with that name already exists.