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β°β β Domain Specific Languages Tips for debugging and testing DSLs Top 10 DSLs for Cloud Computing and DevOps How to Create a DSL A StepbyStep Guide Introduction to Domain Specific Languages DSLs Best DSLs for Embedded Systems and IoT 10 DSLs for Financial Modeling Best Practices and Tools Top 10 DSLs for Network Programming and Security How to create your own DSL from scratch DSLs for Web Development Examples and Use Cases DSLs for data analysis and visualization DSLs for specific industries Healthcare Finance Gaming etc Case studies of successful DSL implementations in realworld projects Most Popular DSLs for Finance and Trading DSLs for Game Development A Beginners Guide Types of DSLs and their Applications Best practices for designing and implementing DSLs DSLs for machine learning and artificial intelligence Introduction to Domain Specific Languages DSLs and their importance in software development DSLs vs General Purpose Languages Pros and Cons Best DSLs for Robotics and Automation Best DSLs for Data Science and Machine Learning Benefits of Using DSLs in Software Development Top 5 DSLs every developer should know about Top 10 DSLs for Mobile App Development DSLs for Embedded Systems A Practical Approach DSLs for Data Science A Comprehensive Guide Top 10 Domain Specific Languages for Web Development Most Useful DSLs for Scientific Computing and Research DSL vs General Purpose Language Which One to Choose Top 10 DSLs for Game Development AI and Tech News Google Mp3 Search Best Free University Courses Online Kids Books Reading Videos Learn Relative Pitch Literate Roleplay DFW Events Calendar DOMAIN SPECIFIC LANGUAGES DSLS.DEV At DSLs.dev, our mission is to provide a comprehensive resource for domain-specific languages (DSLs). We aim to showcase a variety of DSLs and offer tutorials to help users understand and utilize these powerful tools. Our goal is to empower developers and businesses to create more efficient, effective, and specialized software solutions through the use of DSLs. We believe that by promoting the use of DSLs, we can help drive innovation and progress in the tech industry. /R/LISP YEARLY π Kandria, an action RPG made with Common Lisp is now available! π Kandria, an action RPG written in Common Lisp releases in a week on January 11! π A LISP-programmable laptop with battery life measured in years π Really great reference (FREE) π My Lisp game, Kandria, is receiving a major update next week! π Behold the Modern Day Lisp Machine! (.. er, about as close as it gets) π New open source Common Lisp 3D graphics project -- call for participation π An Overview of Kandria's Development with Lisp π The level editor update for my lisp game, Kandria, is now out! π I made a Wayland client from scratch for Common Lisp π βThe Little Learner: A Straight Line to Deep Learningβ by Daniel P. Friedman and Anurag Mendhekar π The Rise & Fall of LISP - Too Good For The Rest Of the World π GNU Common Lisp 2.6.13 is released π THEY HAVE PLAYED US PROGRAMMERS FOR ABSOLUTE FOOLS π Lem 2.0.0 released π Gerald Sussman on the end of SICP (w/ Scheme) at MIT π Amazing, guy created the engine and the game on Lisp π New Edition of "Loving Common Lisp, or the Savvy Programmer's Secret Weapon" π 15 Best Lisp Courses to Take in 2023, by classcentral.com. Common Lisp, Scheme, Racket, Elisp. Featuring works of Neil Munro and vindarel (me) π When should I choose Common Lisp over Clojure (for business), and vice versa? π Version 100 of the MIT Lisp Machine software recovered π Impressions of Common Lisp and the Lisp Community π Coalton: a statically typed language written in Common Lisp π These Years in Common Lisp: 2022 in review π LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus π Juno and Seedling - a self-hosted Lisp that runs in the Browser (or compiled to an executable) with a self contained Lisp based IDE π SBCL: New in version 2.3.3 π Kons-9 update β 3D Common Lisp system now on MacOS and Linux π Lisp in 99 lines of C and how to write one yourself π SBCL realease 2.2.6 (highlight: sb-simd, core compression uses zstd) π I love these old Lisp books π I'm considering moving from Clojure to Common Lisp π SBCL: New in version 2.3.1 π Janet for Mortals π Running Lisp in production @ grammarly π Tranducers in Common Lisp: Efficient, ergonomic data processing π Project Mage is an effort to build a power-user environment and a set of applications in Common Lisp π [cl-gtk4] Writing beautiful GUI with Common Lisp and GTK4 π SBCL: New in version 2.3.0 π Byte, 1979 - 08 π Lisp code in Episode 1 of The Lone Gunmen π Kandria's release date was announced with a new trailer & more! π Looking for ideas for future Look and Feel π Nyxt 3.0.0: two years of work, finally complete. π book review: Lisp from Nothing (2020) π SBCL: New in version 2.2.10 π SBCL: New in version 2.2.9 π World Building And Alternate Reality Common Lisp π Lem - Common Lisp editor/IDE now with a webpage! π Overview video of a Lisp web desktop environment I'm developing Introduction Domain-specific languages (DSLs) are programming languages designed to solve specific problems in a particular domain. They are used to improve productivity, reduce errors, and improve the quality of software. DSLs can be used in a variety of domains, including finance, healthcare, and gaming. This cheat sheet provides an overview of DSLs, their benefits, and how to get started with them. What is a Domain-Specific Language? A domain-specific language (DSL) is a programming language designed to solve specific problems in a particular domain. DSLs are used to improve productivity, reduce errors, and improve the quality of software. They are typically easier to learn and use than general-purpose programming languages. Benefits of Domain-Specific Languages There are several benefits of using domain-specific languages: 1. Improved productivity: DSLs are designed to solve specific problems in a particular domain, which makes them more productive than general-purpose programming languages. 2. Reduced errors: DSLs are designed to be more intuitive and easier to use than general-purpose programming languages, which reduces the likelihood of errors. 3. Improved quality: DSLs are designed to be more precise and specific than general-purpose programming languages, which improves the quality of software. 4. Easier maintenance: DSLs are designed to be more modular and easier to maintain than general-purpose programming languages. Types of Domain-Specific Languages There are two types of domain-specific languages: 1. External DSLs: External DSLs are programming languages that are designed to solve specific problems in a particular domain. They are typically implemented using a parser and a compiler. 2. Internal DSLs: Internal DSLs are programming languages that are embedded in a general-purpose programming language. They are typically implemented using a library or a framework. Examples of Domain-Specific Languages There are many examples of domain-specific languages, including: 1. SQL: SQL is a domain-specific language used to manage relational databases. 2. HTML: HTML is a domain-specific language used to create web pages. 3. Regular expressions: Regular expressions are a domain-specific language used to match patterns in text. 4. LaTeX: LaTeX is a domain-specific language used to create scientific documents. 5. YAML: YAML is a domain-specific language used to create configuration files. Getting Started with Domain-Specific Languages If you are interested in getting started with domain-specific languages, here are some steps you can take: 1. Identify the domain: Identify the domain you want to work in and the specific problem you want to solve. 2. Choose a language: Choose a domain-specific language that is appropriate for the problem you want to solve. 3. Learn the language: Learn the syntax and semantics of the domain-specific language you have chosen. 4. Build a prototype: Build a prototype of your solution using the domain-specific language. 5. Test and refine: Test your solution and refine it until it meets your requirements. Conclusion Domain-specific languages are programming languages designed to solve specific problems in a particular domain. They are used to improve productivity, reduce errors, and improve the quality of software. There are two types of domain-specific languages: external DSLs and internal DSLs. If you are interested in getting started with domain-specific languages, you should identify the domain you want to work in, choose a language, learn the language, build a prototype, and test and refine your solution. COMMON TERMS, DEFINITIONS AND JARGON 1. Domain Specific Language (DSL) - A programming language designed for a specific domain or task. 2. Syntax - The set of rules that govern the structure of a programming language. 3. Semantics - The meaning of a programming language's syntax. 4. Grammar - The set of rules that define the syntax of a programming language. 5. Parser - A program that reads code and converts it into a data structure that can be used by other programs. 6. Lexer - A program that takes source code as input and produces a stream of tokens as output. 7. Token - A sequence of characters that represents a single unit of meaning in a programming language. 8. Abstract Syntax Tree (AST) - A data structure that represents the structure of a program in a way that is easy to manipulate. 9. Compiler - A program that translates source code into machine code. 10. Interpreter - A program that executes code directly, without compiling it first. 11. Code Generation - The process of automatically generating code from a higher-level specification. 12. Metaprogramming - The practice of writing programs that generate other programs. 13. DSL Design - The process of designing a DSL to meet the needs of a specific domain. 14. DSL Implementation - The process of implementing a DSL in a programming language. 15. Embedded DSL - A DSL that is implemented within a host programming language. 16. Standalone DSL - A DSL that is implemented as a separate programming language. 17. Domain Model - A representation of the concepts and relationships in a specific domain. 18. Domain-Specific Vocabulary - The set of terms and concepts used in a specific domain. 19. Domain-Specific Abstraction - A simplified representation of a complex concept in a specific domain. 20. Domain-Specific Semantics - The meaning of terms and concepts in a specific domain. 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