nginr 0.1.6

Nginr - Python Alt syntax with fn keyword and .xg files

nginr

Nginr is a Python syntax alternative (or dialect) that allows using the fn keyword instead of def. It is not a new programming language, but rather a preprocessor that converts .xg files into standard Python code before execution.

Inspired by Python’s readability, Nginr adds a fun twist by using fn — making your code feel fresh-modern while staying fully compatible with Python.

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Features

• Full Python Compatibility: Use any Python3 library or framework
• Alternative Syntax: fn keyword instead of def | but still can use def
• Seamless Integration: Works with existing Python tooling
• Lightweight: Simple preprocessing with minimal overhead
• Extensible: Supports all Python 3.7+ syntax and libraries

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Installation

Using pip (recommended)

pip install nginr

From source

git clone https://github.com/nginrsw/nginr.git
cd nginr
pip install -e .

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Quick Start

1. Create a file with .xg extension:

# hello.xg
fn hello(name):
    print(f"Hello, {name}!")

hello("World")

2. Run it with:

nginr hello.xg

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How It Works

Nginr is a simple preprocessor:

1. Reads .xg files
2. Replaces fn with def
3. Executes the resulting Python code

Example Conversion

# Input (hello.xg)
fn greet(name):
    print(f"Hi, {name}!")

# After preprocessing:
def greet(name):
    print(f"Hi, {name}!")

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More Examples

Function with Parameters

fn add(a, b):
    return a + b

result = add(5, 3)
print(f"5 + 3 = {result}")

Loops and Conditionals

fn factorial(n):
    if n <= 1:
        return 1
    return n * factorial(n - 1)

for i in range(1, 6):
    print(f"{i}! = {factorial(i)}")

Using External Libraries

fn calculate_stats(data):
    import numpy as np
    import pandas as pd

    df = pd.DataFrame(data)
    return {
        'mean': np.mean(df.values),
        'std': np.std(df.values),
        'sum': np.sum(df.values)
    }

Using the Standard Library

fn get_weather(city):
    import json
    from urllib.request import urlopen

    with urlopen(f'https://weather.example.com/api?city={city}') as response:
        return json.load(response)

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Python Library Compatibility

You can use any Python package in your .xg files.

Install them as usual:

pip install numpy pandas requests

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CLI Options

Run this to see available options:

nginr --help

You can also pass arguments to your .xg script:

nginr script.xg arg1 arg2

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Limitations

• Only performs basic fn → def substitution
• No new syntax or typing system
• .xg errors will show traceback in the transformed .py version
• No built-in macro system or advanced parsing (yet)

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Contributing

Contributions are welcome!

1. Fork the repo
2. Create a feature branch git checkout -b feature/amazing-feature
3. Commit your changes git commit -m 'Add amazing feature'
4. Push your branch git push origin feature/amazing-feature
5. Open a Pull Request

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License

Licensed under the MIT License.