semvec/pypi-packages huggingface dataset:
LSQ-Analyzer 1.1
Библиотека для анализа спектров МНК с неотрицательными коэффициентами

# LSQAnalyzer

LSQAnalyzer - это библиотека для анализа рентгеновских спектров методом наименьших квадратов (LSQ). Она позволяет находить процентное соотношение комбинации одних спектров в другом.  
Важно: до начала использования спектры должны быть приведены в один энергетический диапазон и отнормированы к интервалу [0, 1].
В файлах должны отсутствовать заголовки, а разделителем должен быть пробел, в конце не должно быть пустых строк.  
Ниже пример строки содержимого:  
```
98.04 0.34621
```

## Установка

```
pip install LSQ-Analyzer
```

## Использование

Пример использования LSQAnalyzer:

```python
from lsq_analyzer import LSQAnalyzer

# Установите диапазон значений энергии и шаг для анализа
# это нужно, чтобы привести спектры к одной сетке через интерполяцию
start = 72
end = 106.1
step = 0.1

# Создайте экземпляр LSQAnalyzer
analyzer = LSQAnalyzer((start, end, step))

# Указываем теги и пути к файлам
# файлов может быть сколько угодно
data = {
    'CoFe_exp': r"C:\Users\user\Desktop\folder\CoFe_exp.txt",
    'Co_calc': r"C:\Users\user\Desktop\folder\Co_calc.txt",
    'Fe_calc': r"C:\Users\user\Desktop\folder\Fe_calc.txt"
}

# Ввод данных
analyzer.input_data(data)

# Выполнение МНК анализа 
# первым указываем тегом целевой спектр, дальше - остальные
# указывать можно сколько угодно спектров
analyzer.perform_lsq('CoFe_exp', 'Co_calc', 'Fe_calc')

# Печать результатов
analyzer.print_results()

# Построение графиков результатов
_ = analyzer.plot_results()
```
khach-khach 0.1
A package for processing video frames, annotating keypoints, and more.
Requires Python: >=3.6

# khach_khach

`khach_khach` is a Python package designed for processing video frames, annotating keypoints using YOLOv8, and performing subsequent operations on extracted data. It includes functionality to extract frames from videos, annotate keypoints on images, extract and process keypoint data, and more.

## Features

- **Frame Extraction:** Extract frames from a video and save them as JPEG files.
- **Keypoint Annotation:** Annotate images with keypoints using YOLOv8.
- **Data Extraction and Processing:** Extract keypoint data, compute bounding boxes, and extend arrays for further analysis.
- **File Operations:** Append data to files as needed.

## Installation

To install `khach_khach`, you need to have `opencv-python`, `numpy`, and `ultralytics` packages installed. You can install these dependencies using pip:

```bash
pip install opencv-python numpy ultralytics
newmanga 1.3.0
This is not an official library written in python for getting manga from Newmanga website.
Requires Python: >=3.8

# NewManga

**NewManga** is a Python library for retrieving manga information from the Newmanga website. Note that this is not an official library.

## Features

- 🔍 **Search for manga** in the catalogue.
- 📄 **Retrieve detailed information** about manga.
- 📚 **Access short summaries** of manga chapters.
- 💬 **View comments** associated with manga.
- 🔗 **Discover similar manga projects**.
- 🌟 **Retrieve popular manga** and **manga currently being read**.
- 🔄 **Get updated manga**.
- 🏷️ **Receive manga tags**.
- 📦 **All responses** are provided as dataclasses.

## Installing

To install the library, run the following command:

```bash
pip install newmanga
```

## Usage

Here are examples demonstrating how to use various features of the library. Click on each link to view the corresponding example file:

- **Search for manga in the catalogue**: [search.py](examples/search.py)
- **Retrieve detailed information about manga**: [manga.py](examples/manga.py)
- **Access short summaries of manga chapters**: [chapters.py](examples/chapters.py)
- **View comments associated with manga**: [comments.py](examples/comments.py)
- **Discover similar manga projects**: [similar_projects.py](examples/similar_projects.py)
- **Get the first manga from the catalogue**: [first_manga.py](examples/first_manga.py)
devNexus 0.2.3
A package containing dev tools to make development easier.
Requires Python: >=3.7.1

# DevTools

`devNexus` is a Python package designed to simplify and streamline common development tasks. It includes utilities for working with OpenAI, managing directories and files, and performing string operations.

## Features

- **OpenAI Utilities**: Helpers for interacting with OpenAI's API.
- **Directory Tools**: Functions for managing and inspecting directories.
- **File Tools**: Utilities for handling and processing files.
- **String Tools**: Functions for manipulating and analyzing strings.
- **Static Scarping**: Function for static web scraping (not a JS based websites)

## Installation

You can install `devNexus` via pip:

```sh
pip install devNexus
```
## License
This project is licensed under the MIT License. See the LICENSE file for more details.