# 📦 Formulix
Formulix is a powerful and easy-to-use Python package that provides a collection of tools and utilities for solving problems in **Geometry**, **Physics**, **Chemistry**, **Mathematics**, and **Conversions**.
It’s perfect for students, educators, and developers building science-related applications.
---
## 🚀 Features
### 📐 Geometry (`shapes.py`)
- `rectangle_area(length, width)`
- `square_area(side)`
- `circle_area(radius)`
- `triangle_area(base, height)`
- `rhombus_area(d1, d2)`
- `polygon_area(sides)`
### 🧲 Physics (`physics.py`)
- `force(mass, acceleration)`
- `kinetic_energy(mass, velocity)`
- `potential_energy(mass, height, gravity)`
- `ohms_law(v=None, i=None, r=None)`
- `solve_kinematics(u=None, v=None, a=None, t=None, s=None)`
### ⚗️ Chemistry (`chem.py`)
- `molar_mass(formula)`
- `mass_to_moles(compound, mass)`
- `moles_to_mass(compound, moles)`
- `element_info(symbol)`
### 📊 Graphing (`graphing.py`)
- `plot_equation(equation_str)`
### 🔢 Equation Solver (`equation_solver.py`)
- `solve_equation("x**2 - 4 = 0")`
- `simplify_expression("2*x + 3*x")`
### 🔁 Unit Conversion (`convert.py`)
- `convert_length(100, 'cm', 'm')`
- `convert_mass(5, 'kg', 'g')`
- `convert_time(120, 's', 'min')`
- `convert_temperature(0, 'C', 'F')`
- `convert_volume(1, 'l', 'ml')`
- `convert_speed(90, 'km/h', 'm/s')`
---
## 📦 Installation
```bash
pip install Formulix
```
---
## ✅ Example Usage
```python
from formulix import (
rectangle_area, force, molar_mass,
solve_equation, plot_equation, convert_temperature
)
print(rectangle_area(10, 5)) # 50
print(force(10, 2)) # 20
print(molar_mass("H2O")) # 18.015
print(solve_equation("x**2 - 4 = 0")) # [2, -2]
plot_equation("x**2 + y**2 = 25") # Shows a plot
print(convert_temperature(0, 'C', 'F')) # 32.0
```
---
## 🧪 Requirements
- `numpy`
- `sympy`
- `periodictable`
All are installed automatically with pip.
---
## 📬 Author
**Darsh Nayak Das**
9th Grade Student & Science Coder 💡
---
## 📄 License
MIT License
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"description": "# \ud83d\udce6 Formulix\r\n\r\nFormulix is a powerful and easy-to-use Python package that provides a collection of tools and utilities for solving problems in **Geometry**, **Physics**, **Chemistry**, **Mathematics**, and **Conversions**.\r\n\r\nIt\u2019s perfect for students, educators, and developers building science-related applications.\r\n\r\n---\r\n\r\n## \ud83d\ude80 Features\r\n\r\n### \ud83d\udcd0 Geometry (`shapes.py`)\r\n- `rectangle_area(length, width)`\r\n- `square_area(side)`\r\n- `circle_area(radius)`\r\n- `triangle_area(base, height)`\r\n- `rhombus_area(d1, d2)`\r\n- `polygon_area(sides)`\r\n\r\n### \ud83e\uddf2 Physics (`physics.py`)\r\n- `force(mass, acceleration)`\r\n- `kinetic_energy(mass, velocity)`\r\n- `potential_energy(mass, height, gravity)`\r\n- `ohms_law(v=None, i=None, r=None)`\r\n- `solve_kinematics(u=None, v=None, a=None, t=None, s=None)`\r\n\r\n### \u2697\ufe0f Chemistry (`chem.py`)\r\n- `molar_mass(formula)`\r\n- `mass_to_moles(compound, mass)`\r\n- `moles_to_mass(compound, moles)`\r\n- `element_info(symbol)`\r\n\r\n### \ud83d\udcca Graphing (`graphing.py`)\r\n- `plot_equation(equation_str)`\r\n\r\n### \ud83d\udd22 Equation Solver (`equation_solver.py`)\r\n- `solve_equation(\"x**2 - 4 = 0\")`\r\n- `simplify_expression(\"2*x + 3*x\")`\r\n\r\n### \ud83d\udd01 Unit Conversion (`convert.py`)\r\n- `convert_length(100, 'cm', 'm')`\r\n- `convert_mass(5, 'kg', 'g')`\r\n- `convert_time(120, 's', 'min')`\r\n- `convert_temperature(0, 'C', 'F')`\r\n- `convert_volume(1, 'l', 'ml')`\r\n- `convert_speed(90, 'km/h', 'm/s')`\r\n\r\n---\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n```bash\r\npip install Formulix\r\n```\r\n\r\n---\r\n\r\n## \u2705 Example Usage\r\n\r\n```python\r\nfrom formulix import (\r\n rectangle_area, force, molar_mass,\r\n solve_equation, plot_equation, convert_temperature\r\n)\r\n\r\nprint(rectangle_area(10, 5)) # 50\r\nprint(force(10, 2)) # 20\r\nprint(molar_mass(\"H2O\")) # 18.015\r\nprint(solve_equation(\"x**2 - 4 = 0\")) # [2, -2]\r\n\r\nplot_equation(\"x**2 + y**2 = 25\") # Shows a plot\r\nprint(convert_temperature(0, 'C', 'F')) # 32.0\r\n```\r\n\r\n---\r\n\r\n## \ud83e\uddea Requirements\r\n\r\n- `numpy`\r\n- `sympy`\r\n- `periodictable`\r\n\r\nAll are installed automatically with pip.\r\n\r\n---\r\n\r\n## \ud83d\udcec Author\r\n\r\n**Darsh Nayak Das** \r\n9th Grade Student & Science Coder \ud83d\udca1\r\n\r\n---\r\n\r\n## \ud83d\udcc4 License\r\n\r\nMIT License\r\n",
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