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Proof of concept of modern and stylish interpreted programming language for the JVM ⚜️

Home Page: https://panda-lang.org

License: Apache License 2.0

Java 89.84% Groovy 10.16%

panda-lang panda programming-language

panda's Introduction

Panda is a clear and stylish programming language for JVM.
Create clean apps, enhance syntax dynamically or build your own language on top of the Panda Framework.
~ panda-lang.org :wq

🗺️ Download

Website: panda-lang.org
Installation: panda-lang.org/install
Guide: panda-lang.org/guide

〽️ Maven

The latest indev build

<dependency>
    <groupId>org.panda-lang</groupId>
    <artifactId>panda</artifactId>
    <version>0.5.3-alpha</version>
</dependency>

Maven repository: maven.reposilite.com

<repository>
    <id>reposilite</id>
    <name>reposilite-repository</name>
    <url>https://maven.reposilite.com/releases</url>
</repository>

📜 Repository structure

panda/
+--examples/                 Example scripts written in Panda
+--panda/                    Panda module
   +----/src                 All sources of Panda
   +----pom.xml              The main maven build script for Panda module
+--panda-framework/          Panda Framework module
   +----/src                 All sources of Panda Framework
   +----pom.xml              The main maven build script for Panda Framework module
+--panda-utilities/          Panda Utilities module
   +----/src                 All sources of Panda Utilities
   +----pom.xml              The main maven build script for Panda Utilities module
+--pom.xml                   The main maven build script

💞 See also

panda's People

Contributors

Stargazers

Watchers

panda's Issues

Add Mergify

Add generic based components to the parser pipeline system

Replace TokenReader with Tokens in ParserHandler

Add standalone expression parser to the scope pipeline

Improve BlockParser, support optional semicolons

Arrays

Support different types of numbers in math expressions

Improve the performance of ExpressionParser

Transform VariableParser to AssignationParser with dedicated pipeline

Implement TokenPattern instead of AbyssPattern

Add sections to the Generation system

Default sections with priorities:

raw-syntax: 1.0
types: 2.0
syntax: 3.0
content: 4.0

Modules rework

Components:

# Modules
Module - module with the specified name containing associated prototypes references
ModuleLoader - loaded modules by application
ModulePath - available modules

# Prototypes
ClassPrototypeReference - reference to the prototype that is loaded only when it's needed
DynamicMethodCall - call method without mapping a prototype

Loading:

load default Panda types
load custom types

Tips:

do not generate prototypes for unused types
do not map unused prototypes, keep only reference

Add unit testing

Release indev-18.12.29

Increment and decrement operators

Improve the overall performance of the interpretation process

Support optional property by PreparedExtractor

String concatenation

Simplify initialization process

Logical operators

Project configuration script

Remove statement parser based on semicolon

Add BlockSubparser

Optional semicolons

Update example from readme

Replace OldExpressionParser with new ExpressionParser

Waffles are lacking

Panda is lacking waffles (#1) since 84fa2cb

Add self return type to methods

class Builder {

    hidden Foo o

    method self includeFoo(Foo foo) {
        this.foo = foo
    }

}

main {
    Builder builder = new Builder()
            .includeFoo(new Foo())
}

Change priority of parsers to double type

Transform assignation parser to expression parser

Make void return type optional

Mappings statement

Add expression (wildcard::expression) to the TokenPattern

ParserData management rework concept

Add command-line script loading

Add try/catch and error throwing

Consider adding Java like try/catch syntax with error/exception throwing

Allow to evaluate expressions without context

Implement TokenPattern in MethodInvokerParser and Variable/FieldParser

Replace scanning for annotations in org.panda_lang with predefined constants

Create dynamic ExpressionParser

Generify UnifiedParser

Return assigned value from assignation operation

String interpolation

TokenPattern - new token-based pattern, similar to LexicalPattern

Support equals ignore case in PandaLexer

Generify BootstrapParser

Add ExpressionParser cache

Add cache between #read and #parse to improve performance

Support arrays and generic types by type reader

Add types of expressions

DEFAULT
STANDALONE

Simplify and refresh AnnotationsScanner

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