Welcome to the Python Syntax Transformer repository! This project aims to enhance Python by introducing new syntax features, improving error handling, debugging, modularity, and concurrency, and integrating advanced programming principles.

• Enhanced List Comprehension Syntax: Simplify your list comprehensions with more intuitive syntax.
• Improved Error Handling: Detailed and user-friendly error messages to help you debug more effectively.
• Integrated Debugging Tools: Built-in debugging tools for live debugging and introspection.
• Enhanced Type Annotations: Robust type annotations and basic type inference for better error detection.
• Simplified Import/Export Syntax: More intuitive syntax for importing and exporting modules.
• Actor-Based Concurrency: Implement concurrent programming with an actor model.
• Asynchronous Support: Improved support for asynchronous programming.
• Enhanced Package Management: Simple package management tools to handle dependencies.

To get started with the Python Syntax Transformer, follow these steps:

1. Clone the repository:

   git clone https://github.com/Mawgaming/python2X.git
   cd python_syntax_transformer

Create and activate a virtual environment:

Create and activate a virtual environment:

22d83f754c275538a56c9b51ffd44f90df1a673a sh Copy code python3 -m venv venv source venv/bin/activate Install dependencies:

sh Copy code pip install -r requirements.txt Usage Transforming List Comprehensions You can use the syntax transformer to convert enhanced list comprehension syntax into standard Python syntax. Here's an example:

python Copy code from syntax_transformer import SyntaxTransformer, preprocess_code, custom_unparse

code = "[x | for x in range(10) | if x % 2 == 0]" preprocessed_code = preprocess_code(code) tree = ast.parse(preprocessed_code) transformer = SyntaxTransformer() new_tree = transformer.visit(tree) new_code = custom_unparse(new_tree) print(new_code) Transforming Import Syntax Simplify your import statements using the new import syntax:

python Copy code from syntax_transformer import ImportTransformer, preprocess_import_code, custom_unparse_import

import_code = "import mypackage.{module1, module2, module3}" preprocessed_import_code = preprocess_import_code(import_code) import_tree = ast.parse(preprocessed_import_code) import_transformer = ImportTransformer() new_import_tree = import_transformer.visit(import_tree) new_import_code = custom_unparse_import(new_import_tree) print(new_import_code) Actor-Based Concurrency Implement concurrent programming with an actor model:

python Copy code from actor_model import Printer, Counter

printer = Printer() counter = Counter()

printer.send("Hello, Actor World!") for _ in range(5): counter.send("increment") Asynchronous Support Use the asynchronous actor model for concurrency:

python Copy code import asyncio from actor_model import AsyncPrinter, AsyncCounter

async def main(): printer = AsyncPrinter() counter = AsyncCounter()

await printer.send("Hello, Async Actor World!")
for _ in range(5):
    await counter.send("increment")

asyncio.run(main()) Package Management Manage your packages with a simple tool:

sh Copy code python package_manager.py install requests python package_manager.py uninstall requests python package_manager.py list Contributing We welcome contributions! Please see our CONTRIBUTING.md for guidelines on how to contribute to this project.

License This project is licensed under the MIT License. See the LICENSE file for more details.

Contact If you have any questions or feedback, feel free to open an issue or contact us at [[email protected]].

Thank you for using Python Syntax Transformer! We hope you find it useful and engaging. Happy coding!