emojify-python 1.0.0

Import Python modules using emojis 🐍

🐍 Emojify Python - The Ultimate Emoji Programming Experience

Transform Python into a fully emoji-powered language! Import modules, write operators, create classes, and more - all with emojis!

🚀 Features

✨ Core Features

• 🎯 Import modules using emojis: import 🐼 for pandas
• 🔄 Emoji aliases: import pandas as 🐼
• 📦 Emoji variables: 🎲 = random.randint(1, 6)
• 🎨 Custom mappings: Map any emoji to any module

🆕 Enhanced Features

• ➕➖✖️➗ Emoji operators: Math with x ➕ y, a ✖️ b
• 🎨 Emoji decorators: Time functions, cache results, handle errors
• 🔄 Emoji control flow: ❓ for if, 🔁 for loops
• 📝 Emoji functions & classes: Define with emojis
• 🖥️ Emoji REPL: Interactive Python with full emoji support
• 🔍 Emoji type hints: Type annotations with emojis
• 🎨 Syntax highlighting: Beautiful colored emoji code
• 📁 Emoji file support: Save code as .🐍 files
• ❌ Emoji error messages: Friendly error handling
• 🧪 Emoji assertions: Testing with emoji asserts

📦 Installation

pip install emojify-python

🚀 Quick Start

Basic Usage

from emojify_python import enable

# Enable emoji imports globally
enable()

# Now you can import using emojis!
import 🐼  # Imports pandas
import 📊  # Imports matplotlib
import 🔢  # Imports numpy

# Use emoji aliases
import pandas as 🐼
import numpy as 🔢

# Create emoji variables
🎲 = 🐼.DataFrame({'data': [1, 2, 3]})
📈 = 🎲.plot()

Context Manager

Use emojis only within a specific context:

from emojify_python import emojified

with emojified():
    import 🐼
    🎲 = 🐼.DataFrame({'data': [1, 2, 3]})
    print(🎲)

# Outside the context, emoji imports won't work

Decorator

Enable emoji imports for specific functions:

from emojify_python import emojify_function

@emojify_function
def analyze_data():
    import 🐼
    import 📊
    
    🎲 = 🐼.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
    📊.pyplot.plot(🎲['x'], 🎲['y'])
    return 🎲

🗺️ Default Emoji Mappings

Data Science & Analysis

• 🐼 → pandas
• 📊 → matplotlib
• 🔢 → numpy
• 🧮 → scipy
• 🤖 → sklearn
• 📈 → seaborn

Web Frameworks

• 🌐 → flask
• ⚡ → fastapi
• 🎪 → django
• 🚀 → requests

Utilities

• 📅 → datetime
• 🔍 → re
• 📁 → pathlib
• 🎲 → random
• 📦 → json
• 🔐 → hashlib

See all mappings

🎨 Custom Mappings

Add Your Own Mappings

from emojify_python import add_mapping, enable

# Add custom mapping
add_mapping('🎮', 'pygame')
add_mapping('🎨', 'pillow')

enable()

# Now use your custom emojis
import 🎮
import 🎨

🎮.init()

View and Manage Mappings

from emojify_python import (
    view_mappings,
    list_mappings,
    search_mapping,
    update_default_mapping,
    save_custom_mappings,
    load_custom_mappings
)

# View all mappings
all_mappings = view_mappings()

# Search for specific mappings
results = search_mapping('pandas')  # Find mappings related to pandas

# List mappings by category
data_mappings = view_mappings(category='data')

# Update default mappings (use with caution)
update_default_mapping('🆕', 'new_module')

# Save custom mappings to file
save_custom_mappings('my_mappings.json')

# Load custom mappings from file
load_custom_mappings('my_mappings.json')

🛠️ Advanced Usage

Execute Emoji Code

from emojify_python import exec_emoji_code

code = '''
import 🐼
import 🔢

🎲 = 🐼.DataFrame({
    'x': 🔢.array([1, 2, 3]),
    'y': 🔢.array([4, 5, 6])
})
print(🎲.describe())
'''

exec_emoji_code(code)

Compile Emoji Code

from emojify_python import compile_emoji_code

code = "🎲 = [i for i in range(10)]"
compiled = compile_emoji_code(code)
exec(compiled)

🎮 Command Line Interface

Emojify Python comes with a CLI tool:

# List all emoji mappings
python -m emojify_python list

# Search for mappings
python -m emojify_python search pandas

# Add custom mapping
python -m emojify_python add 🎮 pygame

# Run a Python file with emoji support
python -m emojify_python run my_emoji_script.py

📚 Examples

Data Analysis with Emojis

from emojify_python import enable
enable()

import 🐼 as pd
import 🔢 as np
import 📊 as mpl

# Create data
🎲 = pd.DataFrame({
    '📅': pd.date_range('2024-01-01', periods=100),
    '📈': np.random.randn(100).cumsum(),
    '📉': np.random.randn(100).cumsum()
})

# Plot data
🖼️ = 🎲.plot(x='📅', y=['📈', '📉'])
mpl.pyplot.show()

Web API with Emojis

from emojify_python import enable
enable()

from 🌐 import Flask, jsonify
import 📅 as datetime

🚀 = Flask(__name__)

@🚀.route('/api/time')
def get_time():
    ⏰ = datetime.datetime.now()
    return jsonify({'time': str(⏰)})

if __name__ == '__main__':
    🚀.run(debug=True)

Machine Learning Pipeline

from emojify_python import enable
enable()

import 🐼 as pd
import 🔢 as np
from 🤖 import model_selection, ensemble

# Load data
📊 = pd.read_csv('data.csv')
🎯 = 📊['target']
📥 = 📊.drop('target', axis=1)

# Split data
X_train, X_test, y_train, y_test = model_selection.train_test_split(
    📥, 🎯, test_size=0.2, random_state=42
)

# Train model
🌳 = ensemble.RandomForestClassifier()
🌳.fit(X_train, y_train)

# Evaluate
📈 = 🌳.score(X_test, y_test)
print(f"Accuracy: {📈}")

🤔 How It Works

Emojify Python uses Python's import hook system to intercept import statements and translate emoji names to their corresponding module names. It:

1. Registers a custom import finder in sys.meta_path
2. Transforms emoji identifiers to valid Python names using AST manipulation
3. Maps emojis to modules using a configurable dictionary
4. Maintains compatibility with standard Python imports

⚠️ Limitations

• Emoji support in Python is handled through transformation, not native support
• Some IDEs may not provide autocomplete for emoji imports
• Debugging may show transformed names instead of emojis
• Not recommended for production code (but great for fun projects!)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Inspired by the playful nature of Python
• Thanks to all contributors and emoji enthusiasts
• Special thanks to the Python import system documentation

📮 Contact

• GitHub: @arpanghoshal
• PyPI: emojify-python

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Remember: While emoji imports are fun, use them responsibly! 🎉