semvec/pypi-packages huggingface dataset:
quickkeys 0.0.5
Creating Strong passwords and OTP
Keywords: python,password,otp


quickkeys
=========

The quickkeys package provides a simple and versatile tool for generating secure passwords and one-time passwords (OTPs). With this package, you can easily generate passwords and OTPs of varying lengths and complexities to enhance the security of your applications.

Features
--------

**Password Generation:**

- Generate passwords with a customizable number of letters, symbols, and numbers.
- Choose from predefined functions to generate passwords of specific lengths:
  - ``four_digit_password()``: Generates a 4-digit password with 2 letters, 1 symbol, and 1 number.
  - ``six_digit_password()``: Generates a 6-digit password with 4 letters, 1 symbol, and 1 number.
  - ``eight_digit_password()``: Generates an 8-digit password with 4 letters, 2 symbols, and 2 numbers.
  - ``strong_password()``: Generates a strong password with a random length between 8 and 10 characters, including a mix of letters, symbols, and numbers.

**OTP Generation:**

- Generate one-time passwords (OTPs) with a customizable number of digits.
- Choose from predefined functions to generate OTPs of specific lengths:
  - ``four_digit_otp()``: Generates a 4-digit OTP.
  - ``six_digit_otp()``: Generates a 6-digit OTP.

Usage
-----

    # Example usage for generating passwords
    import quickkeys

    # Generate a strong password
    password = quickkeys.strong_password()
    print("Generated Strong Password:", password)

    # Generate a 6-digit OTP
    otp = quickkeys.six_digit_otp()
    print("Generated OTP:", otp)

Installation
------------

    pip install quickkeys
dstricks 0.0.22
Data science package
Requires Python: >=3.10
Keywords: python,data science,ds,functions

# dstricks

[Github Link](https://github.com/RJUNCC/dstricks/tree/main?tab=readme-ov-file)

[Pypi Link](https://pypi.org/project/dstricks/)

A package full of data science functions I learned along the way.
These should include modeling, visualization, statistics, etc.
This is used to make workflow faster and have already available functions.
This probably won't be able to cover all of the things that you need but this is mainly based on what I do.
spectral-cli 0.1.20
Spectral CLI allows you to participate in challenges on the Spectral Finance Platform.
Requires Python: >=3.11.6,<4
Keywords: machine learning,ai,data science,web3

# spectral-cli
Python CLI supporting interactions with Challenges on the Spectral Network Platform.

[![PyPI version](https://badge.fury.io/py/spectral-cli.svg)](https://badge.fury.io/py/spectral-cli)

## Overview

**spectral-cli** is a Python command-line interface (CLI) tool. It uses Poetry for package management and provides a set of Makefile commands for common tasks.

## Installation

To install **spectral-cli**, use the following command:

```bash
make install
```

## Usage

### Running Tests

Execute the following command to run the test suite:

```bash
make test
```

### Building the Package

Build the package using the following command:

```bash
make build
```

### Publishing to PyPI

Publish the package to PyPI with the following command:

```bash
make publish
```

### Publishing to TestPyPI

To publish the package to TestPyPI, use the following command:

```bash
make publish-test
```

## Version Management

Bump the version with the following commands:

- Bump patch version: `make bump-patch`
- Bump minor version: `make bump-minor`
- Bump major version: `make bump-major`