PyCimen
HomeDocsPycimen-LSPInstallationPyCimenPyCimen

PYCIMEN
LANGUAGE

Are you ready for a new experience?

pycimen.pcl
AstNode* Parser::parseImportStmt() {
    /*
     *    import_stmt ::= import "(module)" as? "(name)"?"
    */

    Token module = consume(TokenType::Name);

    ImportNode* node = new ImportNode(module.lexeme);

    return node;
}

Abstract

This work explores the design and implementation of a new hybrid programming language called PyCimen, which com- bines the flexibility of Python with the performance-oriented nature of C++. This study aims to examine the core concepts of programming language design and implementation. It includes the construction of essential components such as the Lexer, Parser, and Abstract syntax tree (AST), offering Python-like syntax executed in a highly optimized and effi- cient C++ runtime. PyCimen’s minimalistic syntax enhances the ease and simplicity of the language. PyCimen provides a convenient developer experience with PyCimen-LSP fea- tures such as code completion, error checking, and syntax highlighting. It includes a package manager and an embed- ded Python interpreter, enabling direct import of Python modules installed with PIP, thus leveraging the rich Python module ecosystem. Language development requires lexical analysis, parsing, and evaluation. Consequently, this work aims to promote the design and implementation of programming lan- guages, supporting their creation by providing fundamental knowledge of language design concepts. It also demonstrates the feasibility of PyCimen combining the strengths of Python and C++ into a single integrated language. The addition of new features will make PyCimen a viable language option in various fields

PyCimen : A New Hybrid Programming Language

This new hybrid programming language aims to strengthen the basic principles of programming languages by creating a custom interpreter for PyCimen. Remarkably, PyCimen seamlessly integrates Python's vast library ecosystem, enabling effortless use of powerful tools across a variety of domains. Additionally, inheriting the performance-oriented nature of C++, PyCimen ensures efficient execution, succeeding in data analysis tasks where speed and productivity are vital. Furthermore, we can benefit from the features of the C++ language while eliminating its difficulties with the help of PyCimen. This approach offers an easy way to gain a new perspective.Additionally, thanks to this, Python machine learning libraries can be used in C++, and AI integration can be done more easily compared to the existing C++ libraries.