semvec/pypi-packages huggingface dataset:
discretemath-himpunan-group1-ucmakassar 1.0.1
A simple Python library for set operations (Himpunan) supporting fractions and decimals.
License: MIT
Requires Python: >=3.8
Keywords: himpunan, set, mathematics, fraction, decimal

# Himpunan - Group 1 - Discrete Mathematics

A simple Python library for performing set operations (Himpunan) — supports Fraction and Decimal types, built for Discrete Mathematics learning.

## Installation

You can install this package from PyPI using pip:
```
pip install himpunan-group1-ucmakassar
```

### Quick Start
```
from himpunan.himpunan import Himpunan
from fractions import Fraction
from decimal import Decimal
```

## Create sets
```
A = Himpunan(1, 2, Fraction(1, 2), Decimal('3.5'))
B = Himpunan(2, 3, Fraction(3, 4))

print("Himpunan A:", A)
print("Himpunan B:", B)
```

### Union
```
print("Gabungan (A ∪ B):", A + B)
```

### Intersection
```
print("Irisan (A ∩ B):", A / B)
```

### Difference
```
print("Selisih (A - B):", A - B)
```

### Symmetric Difference
```
print("Selisih Simetris (A ⊕ B):", A * B)
```
### Cartesian Product
```
print("Perkalian Kartesius (A × B):", A ** B)
```

### Power Set
```
print("Himpunan Bagian (P(A)):", A.ListKuasa())
```

## Example Output
```
A = Himpunan(1, 2)
B = Himpunan(2, 3)

print(A + B)   # {1, 2, 3}
print(A / B)   # {2}
print(A - B)   # {1}
print(A * B)   # {1, 3}
print(A ** B)  # [(1, 2), (1, 3), (2, 2), (2, 3)]
```

## Authors
Group 1:<br>
Keihan Pradika Muzaki (0806022410011)<br>
Michele Stevany Venda Dati (0806022410021)<br>
Siti Amirah Nathania Fahreza (0806022410024)<br>
Universitas Ciputra Surabaya (Kampus Kota Makassar)<br>
📧 Email: mchlstvny@gmail.com
thermohi-hikari 0.1.2
A thermogravimetric analysis helper tool by Hikari.
License: MIT
Requires Python: >=3.9

# ThermoHi
_A lightweight Python toolkit for thermal kinetics data analysis and visualization._

[![PyPI Version](https://img.shields.io/pypi/v/thermohi)](https://pypi.org/project/thermohi/)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
[![Python](https://img.shields.io/badge/python-3.9+-blue.svg)]

---

## 📖 Introduction

**ThermoHi** is a small, research-oriented Python package for thermal kinetic analysis  
and data visualization, designed for TG/DTG analysis in polymer and biomass systems.  
It supports model-free methods such as **FWO**, **KAS**, **Starink**, and **Friedman**,  
with clean APIs and ready-to-plot results.
> An example file (`example.py`) is included to illustrate the usage of ThermoHi's main functionalities.

---

## 🔬 Planned Features
Future versions of **ThermoHi** will include:

- [ ] Support for importing experimental data directly from `.csv` or `.xlsx` files (via `pandas`)
- [ ] Unified plotting style for publication-ready figures (Matplotlib themes)
- [ ] Implementation of the **Vyazovkin method**
- [ ] Exporting results as `.csv`
- [ ] Directly read TG/DTG experimental data and automatically extract corresponding `(T, β, dα/dT)` values based on user-selected α

---
## 📄 License

Distributed under the **MIT License**.\
See [`LICENSE`]() for details.


##  Author

**Hikari Quicklime, Ph.D.**  
Forestry Industry Researcher & Independent Developer  
[GitHub: QuicklimeHikari](https://github.com/QuicklimeHikari)

## ⚙️ Installation

```bash
pip install thermohi
fastapi-initializr 1.0.3
A modern CLI tool that instantly scaffolds production-ready FastAPI project structures with best practices, interactive prompts, and optional configurations.
License: MIT
Requires Python: >=3.8
Keywords: fastapi, initializr, cli, project-generator, scaffold, template, web-development, python-cli, api, boilerplate, framework, starter-project

# ⚡ fastapi-initializr

[![PyPI version](https://img.shields.io/pypi/v/fastapi-initializr.svg)](https://pypi.org/project/fastapi-initializr/)
[![Python Versions](https://img.shields.io/pypi/pyversions/fastapi-initializr.svg)](https://pypi.org/project/fastapi-initializr/)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

> A modern CLI tool that instantly scaffolds **production-ready FastAPI** project structures with best practices, interactive prompts, and customizable templates.

---

## Overview

`fastapi-initializr` helps you bootstrap **FastAPI** projects in seconds — similar to how `create-react-app` or `spring initializr` works.  
It provides a simple, interactive CLI that sets up a clean, well-structured FastAPI project with everything you need to start coding right away.

---

## Features

✅ Interactive CLI prompts using [Questionary](https://github.com/tmbo/questionary)  
✅ Beautiful, colorized terminal experience with [Colorama](https://pypi.org/project/colorama/)  
✅ Built-in spinner and progress indicators with [Yaspin](https://pypi.org/project/yaspin/)  
✅ Instantly generates recommended folder structures for **FastAPI**  
✅ Cross-platform — works on Linux, macOS, and Windows  

---

## 📦 Installation

You can install it globally using **pip**:

```bash
pip install fastapi-initializr